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width=\"24\" height=\"24\" fill=\"currentColor\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path fill-rule=\"nonzero\" d=\"M12 14.744a5.8 5.8 0 0 1-2.746-.692l-6.201-3.326A2.75 2.75 0 0 1 1.6 8.292a2.75 2.75 0 0 1 1.467-2.425l6.216-3.288c1.701-.9 3.732-.9 5.433 0l6.216 3.288a2.75 2.75 0 0 1 1.467 2.425 2.75 2.75 0 0 1-1.453 2.434l-6.201 3.326a5.8 5.8 0 0 1-2.746.692Zm0-11.215c-.672 0-1.344.162-1.957.486L3.827 7.303c-.376.199-.601.57-.602.994s.222.796.596.997l6.201 3.326a4.18 4.18 0 0 0 3.956 0l6.201-3.326c.374-.201.597-.574.596-.997a1.11 1.11 0 0 0-.602-.994l-6.216-3.288A4.2 4.2 0 0 0 12 3.529m2.746 17.876 7.225-3.875a.813.813 0 0 0-.768-1.432l-7.225 3.875a4.18 4.18 0 0 1-3.959-.002l-7.225-3.835a.813.813 0 0 0-.762 1.435l7.222 3.833a5.805 5.805 0 0 0 5.492 0Zm0-3.656 7.225-3.875a.813.813 0 0 0-.768-1.432l-7.225 3.875a4.18 4.18 0 0 1-3.959-.002L2.794 12.48a.813.813 0 0 0-.762 1.435l7.222 3.833a5.805 5.805 0 0 0 5.492 0Z\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/platform/ai-agent-management\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Agent Management</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Secure &amp; Govern AI Agents</div> <ul class=\"ac-megamenuitem-detailedlink-sublinks\"> <li> <a href=\"https://www.gravitee.io/platform/ai-gateway\" class=\"ac-megamenuitem-detailedlink-sublink\"> <span>AI Gateway</span> <div class=\"ac-megamenuitem-detailedlink-sublink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-sublink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> </li><li> <a href=\"https://www.gravitee.io/platform/ai-catalog\" class=\"ac-megamenuitem-detailedlink-sublink\"> <span>AI Catalog</span> <div class=\"ac-megamenuitem-detailedlink-sublink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-sublink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> </li><li> <a href=\"https://www.gravitee.io/platform/ai-security\" class=\"ac-megamenuitem-detailedlink-sublink\"> <span>AI Security</span> <div class=\"ac-megamenuitem-detailedlink-sublink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-sublink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> </li><li> <a href=\"https://www.gravitee.io/platform/ai-studio\" class=\"ac-megamenuitem-detailedlink-sublink\"> <span>AI Studio</span> <div class=\"ac-megamenuitem-detailedlink-sublink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-sublink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> </li> </ul> </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" fill=\"currentcolor\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path d=\"M21.55 18.09h-2.32c-.38-1.25-1.53-2.18-2.9-2.18s-2.53.92-2.9 2.18H2.41a.872.872 0 0 0 0 1.74h11.02c.38 1.25 1.53 2.18 2.9 2.18s2.53-.92 2.9-2.18h2.32a.87.87 0 0 0 0-1.74m-5.22 2.18c-.72 0-1.3-.58-1.31-1.31 0-.72.59-1.31 1.31-1.31s1.31.59 1.31 1.31-.59 1.31-1.31 1.31m5.22-16.1h-2.32c-.38-1.25-1.53-2.18-2.9-2.18s-2.53.92-2.9 2.18H2.41a.872.872 0 0 0 0 1.74h11.02c.38 1.25 1.53 2.18 2.9 2.18s2.53-.92 2.9-2.18h2.32a.87.87 0 0 0 0-1.74m-5.22 2.17c-.72 0-1.3-.58-1.31-1.31 0-.72.59-1.31 1.31-1.31s1.31.59 1.31 1.31-.59 1.31-1.31 1.31m5.22 4.79H10.53C10.15 9.88 9 8.95 7.63 8.95s-2.53.92-2.9 2.18H2.41a.872.872 0 0 0 0 1.74h2.32c.38 1.25 1.53 2.18 2.9 2.18s2.53-.92 2.9-2.18h11.02a.87.87 0 0 0 0-1.74M7.63 13.31c-.72 0-1.3-.58-1.31-1.31 0-.72.59-1.31 1.31-1.31s1.31.59 1.31 1.31-.59 1.31-1.31 1.31\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/platform/api-management\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>API Management</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Govern APIs across gateways, teams, and consumers</div> <ul class=\"ac-megamenuitem-detailedlink-sublinks\"> <li> <a href=\"https://www.gravitee.io/platform/api-gateway\" class=\"ac-megamenuitem-detailedlink-sublink\"> <span>API Gateways</span> <div class=\"ac-megamenuitem-detailedlink-sublink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-sublink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> </li><li> <a href=\"https://www.gravitee.io/platform/api-observability\" class=\"ac-megamenuitem-detailedlink-sublink\"> <span>API Observability</span> <div class=\"ac-megamenuitem-detailedlink-sublink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-sublink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> </li><li> <a href=\"https://www.gravitee.io/platform/api-governance\" class=\"ac-megamenuitem-detailedlink-sublink\"> <span>API Governance</span> <div class=\"ac-megamenuitem-detailedlink-sublink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-sublink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> </li><li> <a href=\"https://www.gravitee.io/platform/api-developer-portal\" class=\"ac-megamenuitem-detailedlink-sublink\"> <span>Developer Portal</span> <div class=\"ac-megamenuitem-detailedlink-sublink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-sublink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> </li> </ul> </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path d=\"M22.42 8.53c0-.64-.52-1.16-1.15-1.16H5.53l2.66-2.65c.45-.45.45-1.19 0-1.64s-1.19-.45-1.64 0L1.91 7.7c-.33.33-.42.83-.24 1.26s.6.71 1.07.72h18.53c.64 0 1.16-.52 1.16-1.15Zm-.33 7.77a1.15 1.15 0 0 0 .25-1.26c-.18-.43-.6-.71-1.07-.72H2.74a1.16 1.16 0 0 0 0 2.32h15.74l-2.66 2.65a1.168 1.168 0 0 0 .82 1.99c.31 0 .6-.12.82-.34l4.63-4.63Z\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/platform/kafka-gateway\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Event Management</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Control, secure, and govern your Kafka streams</div> <ul class=\"ac-megamenuitem-detailedlink-sublinks\"> <li> <a href=\"https://www.gravitee.io/platform/event-gateway\" class=\"ac-megamenuitem-detailedlink-sublink\"> <span>Event Gateway</span> <div class=\"ac-megamenuitem-detailedlink-sublink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-sublink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> </li><li> <a href=\"https://www.gravitee.io/platform/protocol-mediation\" class=\"ac-megamenuitem-detailedlink-sublink\"> <span>Protocol Mediation</span> <div class=\"ac-megamenuitem-detailedlink-sublink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-sublink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> </li> </ul> </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg xml:space=\"preserve\" fill-rule=\"evenodd\" stroke-linejoin=\"round\" stroke-miterlimit=\"2\" clip-rule=\"evenodd\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><g fill-rule=\"nonzero\"><path d=\"M7.441 10.298a.645.645 0 1 1-1.29 0 .645.645 0 0 1 1.29 0\" /><path d=\"M16.095 7.858A6.866 6.866 0 0 0 9.237 1a6.866 6.866 0 0 0-6.858 6.858 6.866 6.866 0 0 0 6.858 6.858 6.866 6.866 0 0 0 6.858-6.858m-6.858 5.569a5.575 5.575 0 0 1-5.569-5.569 5.575 5.575 0 0 1 5.569-5.569 5.575 5.575 0 0 1 5.569 5.569 5.575 5.575 0 0 1-5.569 5.569M13.725 15.498a3.756 3.756 0 0 0-3.751 3.751A3.756 3.756 0 0 0 13.725 23a3.756 3.756 0 0 0 3.751-3.751 3.756 3.756 0 0 0-3.751-3.751m0 6.213a2.465 2.465 0 0 1-2.462-2.462 2.464 2.464 0 0 1 2.462-2.462 2.465 2.465 0 0 1 2.462 2.462 2.465 2.465 0 0 1-2.462 2.462M19.247 10.665a2.37 2.37 0 0 0-2.37 2.37 2.37 2.37 0 0 0 2.37 2.37 2.37 2.37 0 0 0 2.37-2.37 2.37 2.37 0 0 0-2.37-2.37m0 3.452a1.08 1.08 0 0 1-1.081-1.081c0-.596.485-1.081 1.081-1.081s1.081.485 1.081 1.081-.485 1.081-1.081 1.081\" /><path d=\"M6.43 7.858c0-.75.292-1.455.822-1.985a.645.645 0 1 0-.912-.912 4.07 4.07 0 0 0-1.199 2.897.645.645 0 0 0 1.289 0\" /></g></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/platform/authorization-management\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Authorization Management</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Apply zero-trust, fine-grained authorization at every interaction</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg xml:space=\"preserve\" fill-rule=\"evenodd\" stroke-linejoin=\"round\" stroke-miterlimit=\"2\" clip-rule=\"evenodd\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><g fill-rule=\"nonzero\"><path d=\"M7.441 10.298a.645.645 0 1 1-1.29 0 .645.645 0 0 1 1.29 0\" /><path d=\"M16.095 7.858A6.866 6.866 0 0 0 9.237 1a6.866 6.866 0 0 0-6.858 6.858 6.866 6.866 0 0 0 6.858 6.858 6.866 6.866 0 0 0 6.858-6.858m-6.858 5.569a5.575 5.575 0 0 1-5.569-5.569 5.575 5.575 0 0 1 5.569-5.569 5.575 5.575 0 0 1 5.569 5.569 5.575 5.575 0 0 1-5.569 5.569M13.725 15.498a3.756 3.756 0 0 0-3.751 3.751A3.756 3.756 0 0 0 13.725 23a3.756 3.756 0 0 0 3.751-3.751 3.756 3.756 0 0 0-3.751-3.751m0 6.213a2.465 2.465 0 0 1-2.462-2.462 2.464 2.464 0 0 1 2.462-2.462 2.465 2.465 0 0 1 2.462 2.462 2.465 2.465 0 0 1-2.462 2.462M19.247 10.665a2.37 2.37 0 0 0-2.37 2.37 2.37 2.37 0 0 0 2.37 2.37 2.37 2.37 0 0 0 2.37-2.37 2.37 2.37 0 0 0-2.37-2.37m0 3.452a1.08 1.08 0 0 1-1.081-1.081c0-.596.485-1.081 1.081-1.081s1.081.485 1.081 1.081-.485 1.081-1.081 1.081\" /><path d=\"M6.43 7.858c0-.75.292-1.455.822-1.985a.645.645 0 1 0-.912-.912 4.07 4.07 0 0 0-1.199 2.897.645.645 0 0 0 1.289 0\" /></g></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/platform/ai-identity-access-management\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Identity &amp; Access Management</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Establish trust, authentication, and authorization for AI agents</div>  </div> </div> </li> </ul> </div> </div> </div> </li><li class=\"ac-mainmenu-item\"> <button aria-controls=\"megamenu-f9c0c596-6da4-4a56-926e-da4dfb10cdb6\" class=\"ac-btn\">Success Stories<svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-mainmenu-item-close\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M12 5v14m-7-7h14\" /></svg><svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-mainmenu-item-open\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14\" /></svg> </button> <div class=\"ac-megamenu\" id=\"megamenu-f9c0c596-6da4-4a56-926e-da4dfb10cdb6\" style=\"--ac-megamenu-columns-per-row: 3\"> <div class=\"ac-megamenu-inner\"> <div class=\"ac-megamenu-column\" style=\"--ac-megamenu-list-column-span: 2\"> <h3 class=\"ac-megamenu-column-title at-ls-wider\">Case Studies</h3> <ul class=\"ac-megamenu-list\" style=\"--ac-megamenu-list-items-per-row: 2\"> <li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"m21 21-4.35-4.35M19 11a8 8 0 1 1-16 0 8 8 0 0 1 16 0\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/case-studies/sedex\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Read Sedex Case Study</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Stabilizing Sedex&#39;s Collaborative API Platform with Gravitee</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"m21 21-4.35-4.35M19 11a8 8 0 1 1-16 0 8 8 0 0 1 16 0\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/case-studies/posten-bring-case-study\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Read Posten Bring Case study </span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">How Posten Bring Accelerates Its API-First Transformation With Gravitee</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"m21 21-4.35-4.35M19 11a8 8 0 1 1-16 0 8 8 0 0 1 16 0\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/case-studies/michelin\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Read Michelin Case study </span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">How Gravitee Transformed API Management and Security at Scale</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"m21 21-4.35-4.35M19 11a8 8 0 1 1-16 0 8 8 0 0 1 16 0\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/case-studies/swisspost\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Read Swiss Post study</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Swiss Post Reduced Costs and Improved API Management Automation with Gravitee</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg xml:space=\"preserve\" 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1-.687-.688V14.75c0-.379.308-.687.687-.687h6.188c.379 0 .688.309.688.687zM9.25 12.688H3.063a2.064 2.064 0 0 0-2.062 2.062v6.188c0 1.137.925 2.062 2.062 2.062H9.25a2.064 2.064 0 0 0 2.062-2.062V14.75a2.064 2.064 0 0 0-2.062-2.062m.687 8.25a.69.69 0 0 1-.687.688H3.063a.69.69 0 0 1-.688-.688V14.75c0-.379.308-.687.688-.687H9.25c.379 0 .687.309.687.687z\" /></g></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/case-studies\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>View All</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Learn More about Customer Success Stories.</div>  </div> </div> </li> </ul> </div><div class=\"ac-megamenu-column bg-flame\" class=\"bg-flame\" style=\"--ac-megamenu-list-column-span: 1\"> <h3 class=\"ac-megamenu-column-title at-ls-wider\">Use-cases by Industries</h3> <ul class=\"ac-megamenu-list\" style=\"--ac-megamenu-list-items-per-row: 1\"> <li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\"> <a class=\"ac-megamenuitem-link\" href=\"https://www.gravitee.io/industry/financial-services-banking\"> <span>Financial Service &amp; Fintech</span> <div class=\"ac-megamenuitem-link-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-link-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a>  </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\"> <a class=\"ac-megamenuitem-link\" href=\"https://www.gravitee.io/industry/insurance-insure-tech\"> <span>Insurance</span> <div class=\"ac-megamenuitem-link-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-link-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a>  </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\"> <a class=\"ac-megamenuitem-link\" href=\"https://www.gravitee.io/industry/government\"> <span>Government</span> <div class=\"ac-megamenuitem-link-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-link-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a>  </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\"> <a class=\"ac-megamenuitem-link\" href=\"https://www.gravitee.io/industry/travel-hospitality\"> <span>Travel &amp; Hospitality</span> <div class=\"ac-megamenuitem-link-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-link-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a>  </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\"> <a class=\"ac-megamenuitem-link\" href=\"https://www.gravitee.io/industry/software-saas\"> <span>Software</span> <div class=\"ac-megamenuitem-link-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-link-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a>  </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\"> <a class=\"ac-megamenuitem-link\" href=\"https://www.gravitee.io/industry/healthcare\"> <span>Healthcare</span> <div class=\"ac-megamenuitem-link-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-link-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a>  </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\"> <a class=\"ac-megamenuitem-link\" href=\"https://www.gravitee.io/use-cases\"> <span>View All</span> <div class=\"ac-megamenuitem-link-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-link-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a>  </li> </ul> </div> </div> </div> </li><li class=\"ac-mainmenu-item\"> <button aria-controls=\"megamenu-37fd2df3-c642-41de-8f99-eb8f9d32d7cc\" class=\"ac-btn\">Learning &amp; Resources<svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-mainmenu-item-close\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M12 5v14m-7-7h14\" /></svg><svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-mainmenu-item-open\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14\" /></svg> </button> <div class=\"ac-megamenu\" id=\"megamenu-37fd2df3-c642-41de-8f99-eb8f9d32d7cc\" style=\"--ac-megamenu-columns-per-row: 3\"> <div class=\"ac-megamenu-inner\"> <div class=\"ac-megamenu-column\" style=\"--ac-megamenu-list-column-span: 1\"> <h3 class=\"ac-megamenu-column-title at-ls-wider\">Learning</h3> <ul class=\"ac-megamenu-list\" style=\"--ac-megamenu-list-items-per-row: 1\"> <li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\" d=\"M12 7v14m-9-3a1 1 0 0 1-1-1V4a1 1 0 0 1 1-1h5a4 4 0 0 1 4 4 4 4 0 0 1 4-4h5a1 1 0 0 1 1 1v13a1 1 0 0 1-1 1h-6a3 3 0 0 0-3 3 3 3 0 0 0-3-3z\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://documentation.gravitee.io/\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Documentation</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Learn how to use Gravitee. Search the docs and supporting resources.</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 256 256\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path fill=\"currentColor\" d=\"M224 48v48a8 8 0 0 1-8 8h-48a8 8 0 0 1-5.66-13.66L180.65 72a79.48 79.48 0 0 0-54.72-22.09h-.45a79.52 79.52 0 0 0-55.89 22.8 8 8 0 0 1-11.18-11.44A96 96 0 0 1 192 60.7l18.36-18.36A8 8 0 0 1 224 48m-37.59 135.29a80 80 0 0 1-111.06.71l18.31-18.31A8 8 0 0 0 88 152H40a8 8 0 0 0-8 8v48a8 8 0 0 0 13.66 5.66L64 195.3a95.42 95.42 0 0 0 66 26.76h.53a95.36 95.36 0 0 0 67.07-27.33 8 8 0 0 0-11.18-11.44Z\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/blog/tag/platform-release\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Product Updates</span>  <div 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<a href=\"https://www.gravitee.io/demo-center\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Demo Center</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Quick bite-sized product videos.</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path d=\"M20.56 5.3h-2.61V3.43c0-1.02-.83-1.86-1.86-1.86H3.44c-1.02 0-1.86.83-1.86 1.86v16.38c0 1.43 1.17 2.6 2.61 2.61h15.26c1.64 0 2.98-1.34 2.98-2.98V7.16c0-1.02-.83-1.86-1.86-1.86M3.06 19.82V3.44c0-.21.17-.37.37-.37h12.65c.21 0 .37.17.37.37v16c0 .55.16 1.06.42 1.49H4.18c-.62 0-1.12-.5-1.12-1.12m17.88-.37c0 .82-.66 1.49-1.49 1.49-.82 0-1.49-.66-1.49-1.49V6.79h2.61c.21 0 .37.17.37.37z\" /><path d=\"M14.23 11.25H5.3c-.41 0-.75.33-.75.75s.33.75.75.75h8.94c.41 0 .75-.33.75-.75s-.33-.75-.75-.75Zm0 5.96H5.3c-.41 0-.75.33-.75.75s.33.75.75.75h8.94c.41 0 .75-.33.75-.75s-.33-.75-.75-.75Zm0-2.98H5.3c-.41 0-.75.33-.75.75s.33.75.75.75h8.94c.41 0 .75-.33.75-.75s-.33-.75-.75-.75Zm0-8.93h-2.98c-.41 0-.75.33-.75.75s.33.75.75.75h2.98c.41 0 .75-.33.75-.75s-.33-.75-.75-.75m0 2.97h-2.98c-.41 0-.75.33-.75.75s.33.75.75.75h2.98c.41 0 .75-.33.75-.75s-.33-.75-.75-.75\" /><rect width=\"4.46\" height=\"4.46\" x=\"4.56\" y=\"5.3\" rx=\".86\" ry=\".86\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/blog\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Blog</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Stay updated on what Gravitee is doing.</div>  </div> </div> </li> </ul> </div><div class=\"ac-megamenu-column\" style=\"--ac-megamenu-list-column-span: 1\"> <h3 class=\"ac-megamenu-column-title at-ls-wider\">Community</h3> <ul class=\"ac-megamenu-list\" style=\"--ac-megamenu-list-items-per-row: 1\"> <li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path d=\"M19.89 8.08h-5.65V3.95c0-1.24-1.01-2.25-2.23-2.25h-8.2c-1.23 0-2.23 1.01-2.23 2.25v5.23c0 1.24 1.01 2.25 2.24 2.25h.35v1.45c0 .28.16.54.42.66a.733.733 0 0 0 .78-.1l2.17-1.83v5.44c0 1.42 1.14 2.58 2.54 2.59h5.16l2.89 2.48c.13.12.3.18.47.18.1 0 .21-.02.3-.07.26-.12.42-.38.42-.66v-1.93h.57c1.39 0 2.53-1.17 2.53-2.59v-6.38c0-1.42-1.14-2.58-2.54-2.59ZM5.62 11.32v-.61c0-.4-.33-.73-.73-.73H3.82c-.43 0-.78-.36-.78-.8V3.96c0-.44.35-.8.78-.8H12c.43 0 .78.36.78.8v4.13h-2.71c-1.16 0-2.14.81-2.44 1.9h-.08a.97.97 0 0 0-.61.22l-1.33 1.12Zm15.35 5.73c0 .62-.49 1.13-1.08 1.14H18.6c-.4 0-.73.33-.73.73v1.07l-1.82-1.57c-.18-.15-.41-.24-.64-.24h-5.33c-.59 0-1.08-.51-1.08-1.13v-6.38c0-.62.49-1.13 1.08-1.14h9.81c.59 0 1.08.51 1.08 1.13v6.38Z\" /><circle cx=\"18.08\" cy=\"13.93\" r=\"1.03\" /><circle cx=\"14.98\" cy=\"13.93\" r=\"1.03\" /><circle cx=\"11.88\" cy=\"13.93\" r=\"1.03\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://community.gravitee.io/c/support/11\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Support</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">We’re here to support your API journey. Contact us today.</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path d=\"m7.83 16.17-.62-.31c-.17.34-.03.76.31.93.2.1.42.1.62 0zm2.78-5.56-.31-.62a.77.77 0 0 0-.31.31zm5.56-2.78.62.31c.17-.34.03-.76-.31-.93-.2-.1-.42-.1-.62 0zm-2.78 5.56.31.62a.77.77 0 0 0 .31-.31zM12 21.03c-4.99 0-9.03-4.04-9.03-9.03H1.58c0 5.76 4.67 10.42 10.42 10.42zM21.03 12c0 4.99-4.04 9.03-9.03 9.03v1.39c5.76 0 10.42-4.67 10.42-10.42zM12 2.97c4.99 0 9.03 4.04 9.03 9.03h1.39c0-5.76-4.67-10.42-10.42-10.42zm0-1.39C6.24 1.58 1.58 6.24 1.58 12h1.39c0-4.99 4.04-9.03 9.03-9.03zm-3.55 14.9 2.78-5.56-1.24-.62-2.78 5.56zm2.47-5.25 5.56-2.78-.62-1.24-5.56 2.78zm4.63-3.71-2.78 5.56 1.24.62 2.78-5.56zm-2.47 5.25-5.56 2.78.62 1.24 5.56-2.78z\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://community.gravitee.io/t/dev-guide-introduction/1456\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Dev Guide</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Get personalized training on everything from getting started to APl best practices.</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" d=\"M18 18.72a9.1 9.1 0 0 0 3.741-.479q.01-.12.01-.241a3 3 0 0 0-4.692-2.478m.94 3.197.001.031q0 .337-.037.666A11.94 11.94 0 0 1 12 21c-2.17 0-4.207-.576-5.963-1.584A6 6 0 0 1 6 18.719m12 0a5.97 5.97 0 0 0-.941-3.197m0 0A6 6 0 0 0 12 12.75a6 6 0 0 0-5.058 2.772m0 0a3 3 0 0 0-4.681 2.72 9 9 0 0 0 3.74.477m.94-3.197a5.97 5.97 0 0 0-.94 3.197M15 6.75a3 3 0 1 1-6 0 3 3 0 0 1 6 0m6 3a2.25 2.25 0 1 1-4.5 0 2.25 2.25 0 0 1 4.5 0m-13.5 0a2.25 2.25 0 1 1-4.5 0 2.25 2.25 0 0 1 4.5 0\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://community.gravitee.io/c/conversation-corner/17\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Conversation Corner</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Share your knowledge and learn from other passionate Gravitee users.</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" d=\"M18 18.72a9.1 9.1 0 0 0 3.741-.479q.01-.12.01-.241a3 3 0 0 0-4.692-2.478m.94 3.197.001.031q0 .337-.037.666A11.94 11.94 0 0 1 12 21c-2.17 0-4.207-.576-5.963-1.584A6 6 0 0 1 6 18.719m12 0a5.97 5.97 0 0 0-.941-3.197m0 0A6 6 0 0 0 12 12.75a6 6 0 0 0-5.058 2.772m0 0a3 3 0 0 0-4.681 2.72 9 9 0 0 0 3.74.477m.94-3.197a5.97 5.97 0 0 0-.94 3.197M15 6.75a3 3 0 1 1-6 0 3 3 0 0 1 6 0m6 3a2.25 2.25 0 1 1-4.5 0 2.25 2.25 0 0 1 4.5 0m-13.5 0a2.25 2.25 0 1 1-4.5 0 2.25 2.25 0 0 1 4.5 0\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/plugins/gravitee-notifier-slack\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Slack Community</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Connect with fellow Gravitee users, ask questions, and get real-time support from the community.</div>  </div> </div> </li> </ul> </div><div class=\"ac-megamenu-column\" style=\"--ac-megamenu-list-column-span: 1\"> <h3 class=\"ac-megamenu-column-title at-ls-wider\">Resource Center</h3> <ul class=\"ac-megamenu-list\" style=\"--ac-megamenu-list-items-per-row: 1\"> <li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path d=\"M15.97 22.39H8.03c-1.74 0-2.61 0-3.42-.42a3.76 3.76 0 0 1-1.65-1.65c-.42-.81-.42-1.68-.42-3.42V8.97c0-1.74 0-2.61.42-3.42.36-.71.94-1.29 1.65-1.65.68-.35 1.41-.41 2.66-.41v-.94c0-.52.43-.94.94-.94s.94.43.94.94v.94h5.67v-.94c0-.52.43-.94.94-.94s.94.43.94.94v.94c1.26 0 1.97.07 2.66.41.71.36 1.29.94 1.65 1.65.42.8.42 1.68.42 3.42v7.94c0 1.74 0 2.61-.42 3.42a3.76 3.76 0 0 1-1.65 1.65c-.81.42-1.68.42-3.42.42ZM4.44 11.05v5.86c0 1.39 0 2.15.21 2.56.18.36.47.64.82.82.41.21 1.17.21 2.56.21h7.94c1.39 0 2.15 0 2.56-.21.36-.18.64-.46.82-.82.21-.41.21-1.17.21-2.56v-5.86zm0-1.89h15.12v-.19c0-1.39 0-2.15-.21-2.56-.18-.36-.47-.64-.82-.82-.32-.16-.88-.2-1.8-.21v.94c0 .52-.43.94-.94.94s-.94-.43-.94-.94v-.94H9.18v.94c0 .52-.43.94-.94.94s-.94-.43-.94-.94v-.94c-.93 0-1.47.04-1.8.21-.36.18-.64.47-.82.82-.21.41-.21 1.17-.21 2.56v.19Z\" /><path d=\"M8.39 15.13a1.129 1.129 0 1 1-.002-2.258 1.129 1.129 0 0 1 .002 2.258M15.61 15.13a1.129 1.129 0 1 1-.002-2.258 1.129 1.129 0 0 1 .002 2.258M12 15.13a1.129 1.129 0 1 1-.002-2.258A1.129 1.129 0 0 1 12 15.13M8.39 18.69a1.129 1.129 0 1 1-.002-2.258 1.129 1.129 0 0 1 .002 2.258M15.61 18.69a1.129 1.129 0 1 1-.002-2.258 1.129 1.129 0 0 1 .002 2.258M12 18.69a1.129 1.129 0 1 1-.002-2.258A1.129 1.129 0 0 1 12 18.69\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/events\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Events &amp; Webinars</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Join the Gravitee community for conferences, meetups &amp; more.</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path d=\"M4.18 4.18v15.63c0 1.44 1.17 2.61 2.61 2.61h12.38c.36 0 .65-.29.65-.65s-.29-.65-.65-.65H6.79c-.72 0-1.3-.58-1.3-1.3h13.03c.72 0 1.3-.58 1.3-1.3V4.18c0-1.44-1.17-2.61-2.61-2.61H6.79c-1.44 0-2.61 1.17-2.61 2.61m13.03-1.3c.72 0 1.3.58 1.3 1.3v14.33H5.49V4.18c0-.72.58-1.3 1.3-1.3zm-6.83 4.44c.25-.26.72-.53 1.62-.53s1.37.27 1.62.53c.26.27.34.59.34.77 0 .59-.35.91-.94 1.2-.15.07-.3.14-.45.2h-.03c-.14.07-.28.14-.42.2q-.24.12-.45.3c-.2.18-.31.43-.32.7v1.3c0 .36.29.65.65.65s.65-.29.65-.65v-1.11l.05-.03c.1-.05.22-.1.37-.17h.01c.15-.07.33-.15.51-.24.71-.35 1.66-1 1.66-2.37 0-.48-.18-1.13-.7-1.67-.53-.56-1.37-.93-2.55-.93s-2.02.38-2.55.93c-.52.54-.7 1.2-.7 1.67 0 .36.29.65.65.65s.65-.29.65-.65c0-.18.08-.5.34-.77M12 15.91c.54 0 .98-.44.98-.98s-.44-.98-.98-.98-.98.44-.98.98.44.98.98.98\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/api-management-buyers-guide-event-native\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>APIM Buyers Guide</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Guide to selecting an Event-native APIM vendor.</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 256 256\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path fill=\"currentColor\" d=\"m245.66 74.34-32-32a8 8 0 0 0-11.32 11.32L220.69 72H208c-49.33 0-61.05 28.12-71.38 52.92-9.38 22.51-16.92 40.59-49.48 42.84a40 40 0 1 0 .1 16c43.26-2.65 54.34-29.15 64.14-52.69C161.41 107 169.33 88 208 88h12.69l-18.35 18.34a8 8 0 0 0 11.32 11.32l32-32a8 8 0 0 0 0-11.32M48 200a24 24 0 1 1 24-24 24 24 0 0 1-24 24\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/migration\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Migrate to Gravitee</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Make a transition smooth with our guides.</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path d=\"M20.56 5.3h-2.61V3.43c0-1.02-.83-1.86-1.86-1.86H3.44c-1.02 0-1.86.83-1.86 1.86v16.38c0 1.43 1.17 2.6 2.61 2.61h15.26c1.64 0 2.98-1.34 2.98-2.98V7.16c0-1.02-.83-1.86-1.86-1.86M3.06 19.82V3.44c0-.21.17-.37.37-.37h12.65c.21 0 .37.17.37.37v16c0 .55.16 1.06.42 1.49H4.18c-.62 0-1.12-.5-1.12-1.12m17.88-.37c0 .82-.66 1.49-1.49 1.49-.82 0-1.49-.66-1.49-1.49V6.79h2.61c.21 0 .37.17.37.37z\" /><path d=\"M14.23 11.25H5.3c-.41 0-.75.33-.75.75s.33.75.75.75h8.94c.41 0 .75-.33.75-.75s-.33-.75-.75-.75Zm0 5.96H5.3c-.41 0-.75.33-.75.75s.33.75.75.75h8.94c.41 0 .75-.33.75-.75s-.33-.75-.75-.75Zm0-2.98H5.3c-.41 0-.75.33-.75.75s.33.75.75.75h8.94c.41 0 .75-.33.75-.75s-.33-.75-.75-.75Zm0-8.93h-2.98c-.41 0-.75.33-.75.75s.33.75.75.75h2.98c.41 0 .75-.33.75-.75s-.33-.75-.75-.75m0 2.97h-2.98c-.41 0-.75.33-.75.75s.33.75.75.75h2.98c.41 0 .75-.33.75-.75s-.33-.75-.75-.75\" /><rect width=\"4.46\" height=\"4.46\" x=\"4.56\" y=\"5.3\" rx=\".86\" ry=\".86\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/resources\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Resources</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Explore Whitepapers, Use Cases, Podcasts, and E-books.</div>  </div> </div> </li> </ul> </div> </div> </div> </li><li class=\"ac-mainmenu-item\"> <button aria-controls=\"megamenu-ae5e1cca-367b-448b-8fa3-3a53421c1fd3\" class=\"ac-btn\">Why Gravitee<svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-mainmenu-item-close\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M12 5v14m-7-7h14\" /></svg><svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-mainmenu-item-open\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14\" /></svg> </button> <div class=\"ac-megamenu\" id=\"megamenu-ae5e1cca-367b-448b-8fa3-3a53421c1fd3\" style=\"--ac-megamenu-columns-per-row: 3\"> <div class=\"ac-megamenu-inner\"> <div class=\"ac-megamenu-column\" style=\"--ac-megamenu-list-column-span: 2\"> <h3 class=\"ac-megamenu-column-title at-ls-wider\">Why Gravitee</h3> <ul class=\"ac-megamenu-list\" style=\"--ac-megamenu-list-items-per-row: 2\"> <li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path d=\"M12 22.43c-.27 0-.54-.05-.8-.15-5.76-2.21-9.63-7.84-9.62-14.01V3.81c0-1.23 1-2.24 2.23-2.24h16.38c.6 0 1.16.23 1.58.65s.66.98.66 1.58v4.47c0 6.16-3.85 11.78-9.59 13.99 0 0-.02 0-.03.01-.26.1-.53.15-.8.15Zm8.19-19.36H3.82c-.41 0-.74.33-.74.74v4.47c0 5.55 3.47 10.62 8.66 12.6.16.06.35.06.52 0h.02c5.18-1.99 8.66-7.05 8.66-12.6V3.81c0-.2-.08-.38-.22-.52a.72.72 0 0 0-.52-.21Z\" /><path d=\"M10.5 15c-.16 0-.32-.05-.45-.15l-3-2.25a.75.75 0 0 1 .9-1.2l2.45 1.84L15.94 7c.28-.31.75-.34 1.06-.06s.34.75.06 1.06l-6 6.75c-.15.17-.35.25-.56.25\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://trust.gravitee.io/\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Trust Center</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Your central hub for Gravitee’s security, compliance, and reliability information.</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path d=\"M11.53 2.04C6.04 2.04 1.58 6.5 1.58 12s4.46 9.96 9.96 9.96h4.54v-4.88h6.34l-4.77-5.57h-6.38l4.77 5.56h-4.51a5.08 5.08 0 0 1 0-10.16c1.39 0 2.65.56 3.57 1.47l.4.4 3.41-3.5-.4-.39a9.92 9.92 0 0 0-6.98-2.86\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/company\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>About us</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">See why Gravitee is the global leader for the effortless control of your API Ecosystem.</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg fill=\"currentColor\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path d=\"M14.9 4.04c-.23-1.39-1.44-2.46-2.9-2.46S9.33 2.65 9.1 4.04c-3.78 1.23-6.65 3.97-6.65 8.15 0 .53.05 1.04.14 1.55a4.1 4.1 0 0 1 1.82-.68c-.04-.29-.06-.57-.06-.87 0-3.24 2.19-5.2 5.08-6.25.5.91 1.46 1.54 2.57 1.54s2.07-.63 2.57-1.54c.23-.42.38-.9.38-1.41 0-.17-.02-.33-.05-.49M12.41 5.5c-.13.05-.26.08-.41.08s-.28-.03-.41-.08c-.38-.16-.64-.53-.64-.97 0-.41.24-.75.58-.93.14-.07.3-.13.47-.13s.33.05.47.13c.34.17.58.52.58.93 0 .44-.27.81-.64.97M21.02 15.72c.26-.86.4-1.77.4-2.72 0-3.75-1.45-6.49-4.63-8.01v.03c0 .63-.16 1.22-.42 1.76-.02.04-.04.07-.06.1 2.36 1.27 3.21 3.26 3.21 6.12 0 .67-.1 1.31-.26 1.93-.09 0-.18-.03-.28-.03-1.63 0-2.95 1.32-2.95 2.95 0 .46.12.89.31 1.28.29.59.76 1.07 1.35 1.36.39.19.83.31 1.29.31 1.63 0 2.95-1.32 2.95-2.95 0-.84-.35-1.59-.92-2.13Zm-1 2.19c-.03.41-.27.75-.63.9-.13.05-.27.08-.41.08-.58 0-1.05-.47-1.05-1.05 0-.12.03-.22.07-.33.06-.19.18-.35.33-.48.18-.15.4-.25.65-.25.58 0 1.05.47 1.05 1.05 0 .02-.01.04-.01.06ZM14.63 20.01c-1.03.53-1.4.51-2.63.51-1.62 0-3.11-.52-4.34-1.39.19-.39.31-.82.31-1.28 0-1.63-1.32-2.95-2.95-2.95-.1 0-.19.02-.28.03-.68.06-1.29.35-1.75.79-.56.54-.92 1.29-.92 2.13 0 1.63 1.32 2.95 2.95 2.95.47 0 .9-.12 1.29-.31A9.32 9.32 0 0 0 12 22.42c1.71 0 2.52-.15 3.9-.95-.54-.37-.96-.88-1.27-1.46M5.01 18.9c-.15 0-.29-.03-.41-.08-.36-.15-.6-.5-.63-.9 0-.02-.01-.04-.01-.06 0-.58.47-1.05 1.05-1.05.25 0 .47.1.65.25.15.12.27.29.34.48.04.1.07.21.07.33 0 .58-.47 1.05-1.05 1.05Z\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/partners\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Partners</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Stay updated on what Gravitee is doing.</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"1.5\" d=\"M18 18.72a9.1 9.1 0 0 0 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class=\"ac-megamenuitem-detailedlink-subtext\">Meet the Innovators UsingGravitee</div>  </div> </div> </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\">  <div class=\"ac-megamenuitem-detailedlink\"> <div class=\"ac-megamenuitem-detailedlink-icon\"> <svg width=\"24\" height=\"24\" fill=\"currentColor\" viewBox=\"0 0 71.85 62\" class=\"ac-megamenuitem-detailedlink-icon-svg\"><path d=\"M43.63 56.32H8.26A3.26 3.26 0 015 53.06V22.82c0-.07.06-.13.13-.13l11.96.07c.93 0 1.87-.19 2.69-.64 1.92-1.06 3.01-2.96 3.01-5.02V5.13c0-.07.06-.13.13-.13h40.67c1.8 0 3.26 1.46 3.26 3.26v9.36c0 .07.06.13.13.13h4.73c.07 0 .13-.06.13-.13V8.26c0-4.56-3.7-8.26-8.26-8.26H20.02c-2.22 0-4.34.89-5.89 2.47l-11.8 12A8.1 8.1 0 000 20.17v32.89c0 4.56 3.7 8.26 8.26 8.26h35.37c.07 0 .13-.06.13-.13v-4.73c0-.07-.06-.13-.13-.13zM17.55 6.12l.24.1v10.87c0 .23-.11.38-.2.47s-.24.19-.47.19L6.5 17.69c-.12 0-.18-.14-.09-.23L17.56 6.12z\" /><path d=\"M70.66 32.84c0-6.63-5.39-12.02-12.02-12.02s-12.02 5.39-12.02 12.02c0 2.35.68 4.59 1.92 6.52l-.11 19.53c0 1.01.6 1.93 1.54 2.32.93.39 2.01.18 2.73-.54l5.58-5.58 6.18 6.18a2.5 2.5 0 002.72.54c.93-.38 1.54-1.29 1.55-2.3l.11-20.35c1.14-1.84 1.82-4 1.82-6.32m-12.02-7.02c3.87 0 7.02 3.15 7.02 7.02s-3.15 7.02-7.02 7.02c-1.88 0-3.64-.73-4.96-2.06a6.97 6.97 0 01-2.06-4.96c0-3.87 3.15-7.02 7.02-7.02m1.41 23.97c-.98-.98-2.56-.98-3.54 0l-3.05 3.05.05-9.13a11.91 11.91 0 0010.3-.04l-.05 9.83zM35.74 38.58H14.37a2.5 2.5 0 010-5h21.36a2.5 2.5 0 010 5zm0 10.09H14.37a2.5 2.5 0 010-5h21.36a2.5 2.5 0 010 5z\" /></svg> </div> <div class=\"ac-megamenuitem-detailedlink-content\"> <a href=\"https://www.gravitee.io/certification\" target class=\"ac-megamenuitem-detailedlink-text\"> <span>Gravitee Certification</span>  <div class=\"ac-megamenuitem-detailedlink-text-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-detailedlink-text-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a> <div class=\"ac-megamenuitem-detailedlink-subtext\">Demonstrate your API expertise through a series of Gravitee certifications.</div>  </div> </div> </li> </ul> </div><div class=\"ac-megamenu-column bg-flame\" class=\"bg-flame\" style=\"--ac-megamenu-list-column-span: 1\"> <h3 class=\"ac-megamenu-column-title at-ls-wider\">Comparison</h3> <ul class=\"ac-megamenu-list\" style=\"--ac-megamenu-list-items-per-row: 1\"> <li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\"> <a class=\"ac-megamenuitem-link\" href=\"https://www.gravitee.io/comparison/gravitee-vs-kong\"> <span>vs Kong</span> <div class=\"ac-megamenuitem-link-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-link-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a>  </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\"> <a class=\"ac-megamenuitem-link\" href=\"https://www.gravitee.io/comparison/gravitee-vs-apigee\"> <span>vs Apigee (Google)</span> <div class=\"ac-megamenuitem-link-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-link-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a>  </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\"> <a class=\"ac-megamenuitem-link\" href=\"https://www.gravitee.io/comparison/gravitee-vs-azure\"> <span>vs Azure</span> <div class=\"ac-megamenuitem-link-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-link-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a>  </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\"> <a class=\"ac-megamenuitem-link\" href=\"https://www.gravitee.io/comparison/gravitee-vs-tyk\"> <span>vs Tyk</span> <div class=\"ac-megamenuitem-link-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-link-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 12h14m0 0-7-7m7 7-7 7\" /></svg> </div> </a>  </li><li class=\"ac-megamenuitem\" style=\"--ac-megamenuitem-column-span: 1\"> <a class=\"ac-megamenuitem-link\" href=\"https://www.gravitee.io/comparison/gravitee-vs-mulesoft\"> <span>vs Mulesoft</span> <div class=\"ac-megamenuitem-link-icon\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" class=\"ac-megamenuitem-link-icon-svg\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M5 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https://asset.gravitee.io/transform/e27ad16c-dbc5-40dc-af92-c0106608ef31/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A1920%2Cheight%3A1080 1920w\" sizes=\"auto\"></div> </div><div class=\"ab-pageheader-inner al-stack-xl\">  <div class=\"ab-pageheader-content\"> <div class=\"ab-pageheader-body al-stack-md\"> <div class=\"ab-content ab-contentsubline at-fw-700 at-ls-wide at-tt-uppercase at-tw-balance at-ff-display fg-gradient-horizontal\"> <p>An open framework from Gravitee</p> </div><div class=\"ab-content ab-contentheadline al-width-full at-fs-40 lg:at-fs-56 at-fw-900 at-tt-normal at-tw-balance at-ff-display\"> <h1>AI agents are joining the workforce. <span class=\"at-highlight\">Hold them accountable.</span></h1> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-20 lg:at-fs-24 at-tw-balance at-ff-text\"> <p>The Agent Accountability Framework defines what it means for an AI agent to be accountable. Five principles, testable, and free for anyone to use. Gravitee wrote it and Gravitee funds it, because agents cannot deliver on their promise until the organizations running them can answer for what they do.</p> </div><div class=\"ab-content ab-contentgroup al-ajc-inherit al-aai-inherit al-gap-xs\"> <div class=\"ab-content ab-contentbutton is-auto\"> <a class=\"ac-btn is-lg is-primary is-auto\" href=\"https://a.storyblok.com/f/291065726298681/x/2908f184c5/agent-accountability-framework-concept-paper-v0-5.pdf\" target=\"_blank\" rel=\"noopener\">Read the Concept Paper </a> </div><div class=\"ab-content ab-contentmodalhubspotembed\" data-modal-hubspot> <div class=\"ab-contentmodalhubspotembed-trigger\" data-modal-hubspot-trigger> <div class=\"ab-content ab-contentbutton is-auto\"> <button class=\"ac-btn is-lg is-outline is-white is-auto\">Become a contributor </button> </div> </div> <dialog class=\"ab-contentmodalhubspotembed-dialog al-width-lg\" id=\"hubspot-modal-48fa3063-a58d-4dca-9be8-29136c18f40f\" data-modal-hubspot-dialog> <div class=\"ab-contentmodalhubspotembed-panel bg-warm-white abr-sm\"> <form method=\"dialog\" class=\"ab-contentmodalhubspotembed-close\"> <button type=\"submit\" aria-label=\"Close\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M18 6 6 18M6 6l12 12\" /></svg> <span class=\"sr-only\">Close</span> </button> </form> <div class=\"ab-contentmodalhubspotembed-form\" id=\"hubspot-form-48fa3063-a58d-4dca-9be8-29136c18f40f\"></div> </div> </dialog> <script charset=\"utf-8\" type=\"text/javascript\" src=\"//js.hsforms.net/forms/embed/v2.js\"></script> <script>(function(){const portalId = \"7600448\";\nconst hubspotId = \"051d554e-9823-4609-8d42-cb84d39e59da\";\nconst region = \"na1\";\nconst formTargetId = \"hubspot-form-48fa3063-a58d-4dca-9be8-29136c18f40f\";\n\n    if (typeof hbspt !== 'undefined') {\n      hbspt.forms.create({\n        portalId: portalId,\n        formId: hubspotId,\n        region: region,\n        target: `#${formTargetId}`,\n      });\n    }\n  })();</script>   </div>  </div> </div>  </div> </div> </section> <section class=\"ab ab-text al-la-content ab-pt-md ab-pb-sm al-stack-xl\"><div class=\"ab-text-header al-stack-md\"> <div class=\"ab-content ab-contentkeyline at-keyline\" style=\"--keyline-h:calc(var(--sizing) * 5);--keyline-w:calc(var(--sizing) * 64);\"><span class=\"at-keyline-line bg-flame\"></span></div><div class=\"ab-content ab-contentheadline al-me-auto al-ms-0 at-fs-28 lg:at-fs-40 at-fw-900 at-tt-normal at-tw-balance at-ff-display fg-gradient-vertical\"> <p><span class=\"at-highlight\">A workforce no one can hold to account</span></p> </div><div class=\"ab-content ab-contentrichtext at-prose al-me-auto al-ms-0 at-fs-16 lg:at-fs-24 at-tw-balance at-ff-text\"> <p>Organizations already know how to make delegated authority to their employees safe. Identity, a job description, scoped access, supervision, and consequences. AI agents are joining the workforce without any of it, and the instruments that exist each cover only part of the problem.</p> </div> </div></section><section style=\"--ab-cardsgrid-items-desktop-columns: 3;\" class=\"ab ab-cardsgrid al-la-content ab-pt-sm ab-pb-md abr-md fg-black al-stack-xl\"><div class=\"ab-cardsgrid-items al-gap-md is-grow\"> <div class=\"ab-cardsgrid-item\" style=\"--ab-cardsgrid-item-column-span: 1;\">   <article class=\"ab-card\"> <div class=\"ab-card-inner abr-xs bg-white\"> <div class=\"ab-card-media al-ajc-center\"> <div class=\"ac-media is-elementonly\" style=\"--ac-media-height:50px;--ac-media-width:50px;\"><img class=\"ac-media-media ac-mediaimage-media\" alt loading=\"lazy\" src=\"https://asset.gravitee.io/transform/5d6595e4-58f9-462f-bde9-bd229fd683cd/agent_accountability_graphics_gravitee_2026\" width=\"113\" srcset=\"https://asset.gravitee.io/transform/5d6595e4-58f9-462f-bde9-bd229fd683cd/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A248 248w, https://asset.gravitee.io/transform/5d6595e4-58f9-462f-bde9-bd229fd683cd/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A496 496w, https://asset.gravitee.io/transform/5d6595e4-58f9-462f-bde9-bd229fd683cd/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A568 568w, https://asset.gravitee.io/transform/5d6595e4-58f9-462f-bde9-bd229fd683cd/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A800 800w\" sizes=\"90vw\"></div> </div> <div class=\"ab-card-body al-stack-sm at-ta-center\"> <div class=\"ab-content ab-contentheadline at-fs-20 lg:at-fs-32 at-fw-900 at-ls-tight at-tt-normal at-tw-balance at-ff-display fg-black\"> <p>The definition gap</p> </div><div class=\"ab-content ab-contentrichtext at-prose al-width-xs al-mx-auto at-fs-16 lg:at-fs-18 at-tw-wrap at-ff-text\"> <p style=\"text-align: left;\">There is no shared answer to &quot;is this agent accountable?&quot; Every enterprise, auditor, and vendor improvises its own bar, so no two bars are comparable.</p> </div> </div>  </div> </article> </div><div class=\"ab-cardsgrid-item\" style=\"--ab-cardsgrid-item-column-span: 1;\">   <article class=\"ab-card\"> <div class=\"ab-card-inner abr-xs bg-white\"> <div class=\"ab-card-media al-ajc-center\"> <div class=\"ac-media is-elementonly\" style=\"--ac-media-height:50px;--ac-media-width:50px;\"><img class=\"ac-media-media ac-mediaimage-media\" alt loading=\"lazy\" src=\"https://asset.gravitee.io/transform/823629a3-e64a-49dd-be4d-dd6db3e8b064/agent_accountability_graphics_gravitee_2026\" width=\"113\" srcset=\"https://asset.gravitee.io/transform/823629a3-e64a-49dd-be4d-dd6db3e8b064/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A248 248w, https://asset.gravitee.io/transform/823629a3-e64a-49dd-be4d-dd6db3e8b064/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A496 496w, https://asset.gravitee.io/transform/823629a3-e64a-49dd-be4d-dd6db3e8b064/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A568 568w, https://asset.gravitee.io/transform/823629a3-e64a-49dd-be4d-dd6db3e8b064/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A800 800w\" sizes=\"90vw\"></div> </div> <div class=\"ab-card-body al-stack-sm at-ta-center\"> <div class=\"ab-content ab-contentheadline at-fs-20 lg:at-fs-32 at-fw-900 at-ls-tight at-tt-normal at-tw-balance at-ff-display fg-black\"> <p>The missing middle</p> </div><div class=\"ab-content ab-contentrichtext at-prose al-width-xs al-mx-auto at-fs-16 lg:at-fs-18 at-tw-wrap at-ff-text\"> <p style=\"text-align: left;\">Governance frameworks cover programs. Technical standards cover protocols. Nothing defines what must be true of the individual agent holding real authority in production.</p> </div> </div>  </div> </article> </div><div class=\"ab-cardsgrid-item\" style=\"--ab-cardsgrid-item-column-span: 1;\">   <article class=\"ab-card\"> <div class=\"ab-card-inner abr-xs bg-white\"> <div class=\"ab-card-media al-ajc-center\"> <div class=\"ac-media is-elementonly\" style=\"--ac-media-height:50px;--ac-media-width:50px;\"><img class=\"ac-media-media ac-mediaimage-media\" alt loading=\"lazy\" src=\"https://asset.gravitee.io/transform/9d5e251f-a6a3-4699-a27d-771a6765b6c6/agent_accountability_graphics_gravitee_2026\" width=\"113\" srcset=\"https://asset.gravitee.io/transform/9d5e251f-a6a3-4699-a27d-771a6765b6c6/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A248 248w, https://asset.gravitee.io/transform/9d5e251f-a6a3-4699-a27d-771a6765b6c6/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A496 496w, https://asset.gravitee.io/transform/9d5e251f-a6a3-4699-a27d-771a6765b6c6/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A568 568w, https://asset.gravitee.io/transform/9d5e251f-a6a3-4699-a27d-771a6765b6c6/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A800 800w\" sizes=\"90vw\"></div> </div> <div class=\"ab-card-body al-stack-sm at-ta-center\"> <div class=\"ab-content ab-contentheadline at-fs-20 lg:at-fs-32 at-fw-900 at-ls-tight at-tt-normal at-tw-balance at-ff-display fg-black\"> <p><span style=\"color: #000000\">Partial coverage</span></p> </div><div class=\"ab-content ab-contentrichtext at-prose al-width-xs al-mx-auto at-fs-16 lg:at-fs-18 at-tw-wrap at-ff-text\"> <p style=\"text-align: left;\"><span style=\"color: #000000\">Governance that covers the easy agents is not governance. Risk concentrates in the agents nobody registered.</span></p> </div> </div>  </div> </article> </div> </div></section><script type=\"module\" src=\"/_astro/Splide.astro_astro_type_script_index_0_lang.CL6y7yGH.js?dpl=6a97dd2a89d5020008a3e674\"></script><section style=\"--ab-folder-bgi: url('https://asset.gravitee.io/transform/e27ad16c-dbc5-40dc-af92-c0106608ef31/agent_accountability_graphics_gravitee_2026');\" class=\"ab ab-folder al-la-full ab-pt-0 ab-pb-0 al-stack-xl\"><div class=\"ab ab-cardscarousel al-la-full ab-pt-lg ab-pb-lg al-stack-xl hl-white\"><div class=\"ab-cardscarousel-header at-ta-start al-stack-md\"> <div class=\"ab-content ab-contentkeyline at-keyline\" style=\"--keyline-h:calc(var(--sizing) * 5);--keyline-w:calc(var(--sizing) * 64);\"><span class=\"at-keyline-line bg-flame\"></span></div><div class=\"ab-content ab-contentheadline at-fs-40 lg:at-fs-56 at-fw-900 at-tt-normal at-tw-balance at-ff-display fg-gradient-vertical\"> <h2>Five principles. Five questions every agent must answer.</h2> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-18 at-tw-balance at-ff-text fg-white\"> <p>Organizations already know how to govern autonomous actors, because employees are autonomous actors. Agent Accountability translates the structures that make a human workforce accountable into five principles for a digital one, ordered the way you would onboard an employee. Each one is a question you should be able to answer for every agent you run.</p> </div> </div><div class=\"ab-cardscarousel-content\"> <astro-splide data-splideid=\"astro-splide-vo0duy2xv\" data-options=\"{&quot;perPage&quot;:3,&quot;focus&quot;:&quot;center&quot;,&quot;type&quot;:&quot;loop&quot;,&quot;gap&quot;:24,&quot;pauseOnHover&quot;:false,&quot;updateOnMove&quot;:true,&quot;autoplay&quot;:false,&quot;speed&quot;:700,&quot;interval&quot;:7000,&quot;heightRatio&quot;:0,&quot;autoHeight&quot;:true,&quot;arrows&quot;:true,&quot;pagination&quot;:true,&quot;breakpoints&quot;:{&quot;640&quot;:{&quot;perPage&quot;:1,&quot;pagination&quot;:true},&quot;1024&quot;:{&quot;perPage&quot;:2,&quot;pagination&quot;:true,&quot;focus&quot;:1}}}\"> <div id=\"astro-splide-vo0duy2xv\" class=\"splide\"><div class=\"splide__track\"> <ul class=\"splide__list\">  <li class=\"splide__slide\">  <article class=\"ab-card\"> <div class=\"ab-card-inner abr-md bg-off-white fg-black\"> <div class=\"ab-card-media al-ajc-start\"> <div class=\"ac-media is-elementonly\" style=\"--ac-media-height:50px;--ac-media-width:40px;\"><img class=\"ac-media-media ac-mediaimage-media\" alt loading=\"lazy\" src=\"https://asset.gravitee.io/transform/5bcd963d-807e-4e24-94e6-2b89de58e671/agent_accountability_graphics_gravitee_2026\" width=\"113\" srcset=\"https://asset.gravitee.io/transform/5bcd963d-807e-4e24-94e6-2b89de58e671/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A248 248w, https://asset.gravitee.io/transform/5bcd963d-807e-4e24-94e6-2b89de58e671/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A496 496w, https://asset.gravitee.io/transform/5bcd963d-807e-4e24-94e6-2b89de58e671/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A568 568w, https://asset.gravitee.io/transform/5bcd963d-807e-4e24-94e6-2b89de58e671/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A800 800w\" sizes=\"90vw\"></div> </div> <div class=\"ab-card-body al-stack-sm at-ta-start\"> <div class=\"ab-content ab-contentheadline at-fs-20 lg:at-fs-32 at-fw-900 at-tt-normal at-tw-balance at-ff-display\"> <p>Role</p> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-16 at-tw-wrap at-ff-text fg-black hl-gradient-horizontal\"> <h3><span class=\"at-highlight\"><strong>“What are you here to do?”</strong></span></h3> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-16 at-tw-wrap at-ff-text fg-black\"> <p>&quot;A documented purpose with explicit boundaries and measurable success criteria. The agent&#039;s job description.</p> </div> </div>  </div> </article>  </li><li class=\"splide__slide\">  <article class=\"ab-card\"> <div class=\"ab-card-inner abr-md bg-off-white fg-black\"> <div class=\"ab-card-media al-ajc-start\"> <div class=\"ac-media is-elementonly\" style=\"--ac-media-height:50px;--ac-media-width:60px;\"><img class=\"ac-media-media ac-mediaimage-media\" alt loading=\"lazy\" src=\"https://asset.gravitee.io/transform/ff5c3bef-c7bb-4219-9457-393f636606b8/agent_accountability_graphics_gravitee_2026\" width=\"113\" srcset=\"https://asset.gravitee.io/transform/ff5c3bef-c7bb-4219-9457-393f636606b8/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A248 248w, https://asset.gravitee.io/transform/ff5c3bef-c7bb-4219-9457-393f636606b8/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A496 496w, https://asset.gravitee.io/transform/ff5c3bef-c7bb-4219-9457-393f636606b8/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A568 568w, https://asset.gravitee.io/transform/ff5c3bef-c7bb-4219-9457-393f636606b8/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A800 800w\" sizes=\"90vw\"></div> </div> <div class=\"ab-card-body al-stack-sm at-ta-start\"> <div class=\"ab-content ab-contentheadline at-fs-20 lg:at-fs-32 at-fw-900 at-tt-normal at-tw-balance at-ff-display\"> <p>Authority</p> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-16 at-tw-wrap at-ff-text fg-black hl-gradient-horizontal\"> <h3><span class=\"at-highlight\"><strong>“What can you see, and what can you do?”</strong></span></h3> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-16 at-tw-wrap at-ff-text fg-black\"> <p>Enumerated, role-derived, time-bounded, and revocable in real time.</p> </div> </div>  </div> </article>  </li><li class=\"splide__slide\">  <article class=\"ab-card\"> <div class=\"ab-card-inner abr-md bg-off-white fg-black\"> <div class=\"ab-card-media al-ajc-start\"> <div class=\"ac-media is-elementonly\" style=\"--ac-media-height:50px;--ac-media-width:60px;\"><img class=\"ac-media-media ac-mediaimage-media\" alt loading=\"lazy\" src=\"https://asset.gravitee.io/transform/fb179f60-db05-41e0-9d9b-f91c91a9bb98/agent_accountability_graphics_gravitee_2026\" width=\"113\" srcset=\"https://asset.gravitee.io/transform/fb179f60-db05-41e0-9d9b-f91c91a9bb98/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A248 248w, https://asset.gravitee.io/transform/fb179f60-db05-41e0-9d9b-f91c91a9bb98/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A496 496w, https://asset.gravitee.io/transform/fb179f60-db05-41e0-9d9b-f91c91a9bb98/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A568 568w, https://asset.gravitee.io/transform/fb179f60-db05-41e0-9d9b-f91c91a9bb98/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A800 800w\" sizes=\"90vw\"></div> </div> <div class=\"ab-card-body al-stack-sm at-ta-start\"> <div class=\"ab-content ab-contentheadline at-fs-20 lg:at-fs-32 at-fw-900 at-tt-normal at-tw-balance at-ff-display\"> <p>Oversight</p> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-16 at-tw-wrap at-ff-text fg-black hl-gradient-horizontal\"> <h3><span class=\"at-highlight\"><strong>“What can you see, and what can you do?”</strong></span></h3> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-16 at-tw-wrap at-ff-text fg-black\"> <p>Every action recorded with its full delegation chain. Deviations surface in real time. Irreversible actions are evaluated before they run.</p> </div> </div>  </div> </article>  </li><li class=\"splide__slide\">  <article class=\"ab-card\"> <div class=\"ab-card-inner abr-md bg-off-white fg-black\"> <div class=\"ab-card-media al-ajc-start\"> <div class=\"ac-media is-elementonly\" style=\"--ac-media-height:50px;--ac-media-width:60px;\"><img class=\"ac-media-media ac-mediaimage-media\" alt loading=\"lazy\" src=\"https://asset.gravitee.io/transform/4f812667-c7de-4251-8a48-2288dbc88630/agent_accountability_graphics_gravitee_2026\" width=\"113\" srcset=\"https://asset.gravitee.io/transform/4f812667-c7de-4251-8a48-2288dbc88630/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A248 248w, https://asset.gravitee.io/transform/4f812667-c7de-4251-8a48-2288dbc88630/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A496 496w, https://asset.gravitee.io/transform/4f812667-c7de-4251-8a48-2288dbc88630/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A568 568w, https://asset.gravitee.io/transform/4f812667-c7de-4251-8a48-2288dbc88630/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A800 800w\" sizes=\"90vw\"></div> </div> <div class=\"ab-card-body al-stack-sm at-ta-start\"> <div class=\"ab-content ab-contentheadline at-fs-20 lg:at-fs-32 at-fw-900 at-tt-normal at-tw-balance at-ff-display\"> <p>Recourse</p> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-16 at-tw-wrap at-ff-text fg-black hl-gradient-horizontal\"> <h3><span class=\"at-highlight\"><strong>&quot;What happens if it goes wrong?&quot;</strong></span></h3> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-16 at-tw-wrap at-ff-text fg-black\"> <p><span style=\"color: #000000\">Stopped in seconds, rolled back or contained, reinstated by decision, retired completely.</span></p> </div> </div>  </div> </article>  </li><li class=\"splide__slide\">  <article class=\"ab-card\"> <div class=\"ab-card-inner abr-md bg-off-white fg-black\"> <div class=\"ab-card-media al-ajc-start\"> <div class=\"ac-media is-elementonly\" style=\"--ac-media-height:50px;--ac-media-width:40px;\"><img class=\"ac-media-media ac-mediaimage-media\" alt loading=\"lazy\" src=\"https://asset.gravitee.io/transform/34aef67e-2403-4b14-8a28-1814e4fd792f/agent_accountability_graphics_gravitee_2026\" width=\"113\" srcset=\"https://asset.gravitee.io/transform/34aef67e-2403-4b14-8a28-1814e4fd792f/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A248 248w, https://asset.gravitee.io/transform/34aef67e-2403-4b14-8a28-1814e4fd792f/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A496 496w, https://asset.gravitee.io/transform/34aef67e-2403-4b14-8a28-1814e4fd792f/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A568 568w, https://asset.gravitee.io/transform/34aef67e-2403-4b14-8a28-1814e4fd792f/agent_accountability_graphics_gravitee_2026?io=transform%3Afill%2Cwidth%3A800 800w\" sizes=\"90vw\"></div> </div> <div class=\"ab-card-body al-stack-sm at-ta-start\"> <div class=\"ab-content ab-contentheadline at-fs-20 lg:at-fs-32 at-fw-900 at-tt-normal at-tw-balance at-ff-display\"> <p>Identity</p> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-16 at-tw-wrap at-ff-text fg-black hl-gradient-horizontal\"> <h3><span class=\"at-highlight\"><strong>“Who are you?”</strong></span></h3> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-16 at-tw-wrap at-ff-text fg-black\"> <p>A unique, verifiable identity, registered before first action, with an accountable human sponsor at all times.</p> </div> </div>  </div> </article>  </li>  </ul> </div></div> </astro-splide>  </div></div><span class=\"ab-folder-bg-top\"></span> <span class=\"ab-folder-bg-bottom\"></span> </section><section class=\"ab ab-text al-la-full ab-pt-md ab-pb-md al-stack-xl bg-white\"><div class=\"ab-text-header al-stack-md\"> <div class=\"ab-content ab-contentheadline al-mx-auto at-fs-28 lg:at-fs-40 at-lh-lg at-fw-900 at-tt-normal at-tw-balance at-ff-display at-ta-center fg-black hl-gradient-vertical\"> <h2>Written by Gravitee. Given to the community.</h2> </div><div class=\"ab-content ab-contentkeyline at-keyline at-ta-center\" style=\"--keyline-h:calc(var(--sizing) * 5);--keyline-w:calc(var(--sizing) * 64);\"><span class=\"at-keyline-line bg-gradient-horizontal\"></span></div><div class=\"ab-content ab-contentrichtext at-prose al-width-lg al-mx-auto at-fs-20 lg:at-fs-24 at-tw-balance at-ff-text at-ta-center fg-black\"> <p>The Agent Accountability Framework is authored and sponsored by Gravitee and published as an open, vendor-neutral specification. It names no vendor, no product, and no architecture, including ours. It will be released under an open license (CC BY 4.0 intended), free to read, adopt, adapt and build on, whatever you build with and whoever you buy from.</p><p>We build the platform enterprises use to run agents in production, so we see the gap every day. Agents will only be trusted with work that matters when the organizations running them can prove who did what and why. That is a shared problem, and the answer is worth more to everyone if it belongs to everyone. So we wrote it down, and we are opening it up to everyone.</p><p>Human and agent workforces have to work as one. Accountability is what makes that possible.</p> </div> </div></section><section class=\"ab ab-text al-la-full ab-pt-md ab-pb-0 al-stack-xl bg-off-white\"><div class=\"ab-text-header al-stack-md\"> <div class=\"ab-content ab-contentkeyline at-keyline\" style=\"--keyline-h:calc(var(--sizing) * 5);--keyline-w:calc(var(--sizing) * 64);\"><span class=\"at-keyline-line bg-flame\"></span></div><div class=\"ab-content ab-contentheadline at-fs-28 lg:at-fs-40 at-lh-lg at-fw-900 at-tt-normal at-tw-balance at-ff-display fg-gradient-vertical hl-gradient-vertical\"> <h2>Use it today. Tell us where it breaks.</h2> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-16 lg:at-fs-18 at-tw-balance at-ff-text fg-black\"> <p>The framework is free to use before it is finished. Run the five questions against your own agents and tell us what you find.</p> </div> </div><div class=\"ab-text-body al-stack-xl\"> <div class=\"ab-content ab-contenthtml\"><div class=\"steps-grid\">\n  <!-- Step 1 -->\n  <div class=\"step-item\">\n    <div class=\"step-number\">1</div>\n    <div class=\"step-content\">\n      <h3>Read the Concept Paper.</h3>\n      <p>Five principles and the case for the category. Free, no form.\n</p>\n    </div>\n  </div>\n\n  <!-- Step 2 -->\n  <div class=\"step-item\">\n    <div class=\"step-number\">2</div>\n    <div class=\"step-content\">\n      <h3>Ask the five questions of your own agents.</h3>\n      <p>Can you name every agent, its sponsor, its role, its authority, and your kill path? Where the answers fail is where accountability starts.\n</p>\n    </div>\n  </div>\n\n  <!-- Step 3 -->\n  <div class=\"step-item\">\n    <div class=\"step-number\">3</div>\n    <div class=\"step-content\">\n      <h3>Tell us what is missing. </h3>\n      <p>Where the employment analogy breaks, and where the bar should sit. Contributors are acknowledged by name.\n</p>\n    </div>\n  </div>\n\n\n\n \n\n<style>\n  /* Container layout: 2-column grid that stacks on mobile */\n  .steps-grid {\n    display: grid;\n    grid-template-columns: repeat(3, 1fr);\n    gap: 32px 48px;\n   \n    padding: 40px;\n    box-sizing: border-box;\n  }\n\n  /* Single step card styling */\n  .step-item {\n    display: flex;\n    align-items: flex-start;\n    gap: 16px;\n  }\n\n  /* Orange/Red Gradient Badge */\n  .step-number {\n    background: linear-gradient(135deg, #FF8A00 0%, #F31013 100%);\n    color: #ffffff;\n    width: 36px;\n    height: 36px;\n    min-width: 36px;\n    display: flex;\n    align-items: center;\n    justify-content: center;\n    font-weight: 700;\n    font-size: 16px;\n    border-radius: 8px 0px 8px 8px; /* Top-right corner square, others rounded */\n  }\n\n  /* Content area */\n  .step-content h3 {\n    margin: 0 0 8px 0;\n    font-size: 18px;\n    font-weight: 700;\n    color: #111111;\n    line-height: 1.3;\n  }\n\n  .step-content p {\n    margin: 0;\n    font-size: 18px;\n    color: #666666;\n    line-height: 1.5;\n  }\n\n  /* Responsive layout for mobile screens */\n  @media (max-width: 768px) {\n    .steps-grid {\n      grid-template-columns: 1fr;\n      padding: 20px;\n      gap: 24px;\n    }\n  }\n</style></div> </div></section><section class=\"ab ab-calltoaction al-la-full ab-pt-lg ab-pb-lg bg-black\"> <div class=\"ab-calltoaction-inner\"> <div class=\"ab-calltoaction-body al-stack-sm\"> <div class=\"ab-content ab-contentheadline at-fs-28 lg:at-fs-40 at-fw-900 at-tt-normal at-tw-balance at-ff-display fg-white\"> <p>Help define what accountability means for the agentic era.</p> </div><div class=\"ab-content ab-contentrichtext at-prose at-fs-16 lg:at-fs-18 at-tw-balance at-ff-text fg-off-white\"> <p>Read the paper, challenge the principles, and put them to work on your own agents. It is free, and it always will be.</p> </div><div class=\"ab-content ab-contentgroup al-ajc-inherit al-aai-inherit al-gap-xs\"> <div class=\"ab-content ab-contentbutton is-auto\"> <a class=\"ac-btn is-lg is-primary is-auto\" href=\"https://a.storyblok.com/f/291065726298681/x/2908f184c5/agent-accountability-framework-concept-paper-v0-5.pdf\" target=\"_blank\" rel=\"noopener\">Read the Concept Paper </a> </div><div class=\"ab-content ab-contentmodalhubspotembed\" data-modal-hubspot> <div class=\"ab-contentmodalhubspotembed-trigger\" data-modal-hubspot-trigger> <div class=\"ab-content ab-contentbutton is-auto\"> <button class=\"ac-btn is-lg is-outline is-white is-auto\">Become a contributor </button> </div> </div> <dialog class=\"ab-contentmodalhubspotembed-dialog al-width-lg\" id=\"hubspot-modal-77695c65-97f2-4353-96c7-460b34b9b4ce\" data-modal-hubspot-dialog> <div class=\"ab-contentmodalhubspotembed-panel bg-warm-white abr-sm\"> <form method=\"dialog\" class=\"ab-contentmodalhubspotembed-close\"> <button type=\"submit\" aria-label=\"Close\"> <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M18 6 6 18M6 6l12 12\" /></svg> <span class=\"sr-only\">Close</span> </button> </form> <div class=\"ab-contentmodalhubspotembed-form\" id=\"hubspot-form-77695c65-97f2-4353-96c7-460b34b9b4ce\"></div> </div> </dialog> <script charset=\"utf-8\" type=\"text/javascript\" src=\"//js.hsforms.net/forms/embed/v2.js\"></script> <script>(function(){const portalId = \"7600448\";\nconst hubspotId = \"051d554e-9823-4609-8d42-cb84d39e59da\";\nconst region = \"na1\";\nconst formTargetId = \"hubspot-form-77695c65-97f2-4353-96c7-460b34b9b4ce\";\n\n    if (typeof hbspt !== 'undefined') {\n      hbspt.forms.create({\n        portalId: portalId,\n        formId: hubspotId,\n        region: region,\n        target: `#${formTargetId}`,\n      });\n    }\n  })();</script>   </div>  </div> </div>  </div> </section><section class=\"ab ab-text al-la-content ab-pt-sm ab-pb-sm al-stack-xl\"><div class=\"ab-text-body al-stack-xl\"> <div class=\"ab-content ab-contentrichtext at-prose at-fs-18 at-tw-balance at-ff-text fg-off-white\"> <p><span style=\"color: #000000\">The Agent Accountability Framework is authored and sponsored by Gravitee. To be published under an open license (CC BY 4.0 intended).</span></p> </div> </div></section> </main> </div> <script type=\"module\">const e=document.querySelector(\".ac-banner\"),o=new ResizeObserver(n=>{for(const t of n){const r=t.target.clientHeight;document.documentElement.style.setProperty(\"--banner-height\",`${r}px`)}});e&&o.observe(e);</script>    <footer class=\"ac-footer al-la bg-black fg-white hl-flare\"> <div class=\"ac-footer-inner\"> <div class=\"ac-footer-section\"> <div class=\"ac-footer-detail\"> <div class=\"ac-footer-muted al-stack-xl\"> <div class=\"ab-linkgroup\">  <ul class=\"ab-linkgroup-links\"> <li> <div> <a href=\"https://www.gravitee.io/company\">About Us</a> </div> </li><li> <div> <a href=\"https://www.gravitee.io/careers\">Careers</a> </div> </li><li> <div> <a href=\"https://www.gravitee.io/contact-us\">Contact Us</a> </div> </li><li> <div> <a href=\"https://www.gravitee.io/blog/tag/platform-release\">Product Releases</a> </div> </li><li> <div> <a href=\"https://community.gravitee.io/\">Community</a> </div> </li><li> <div> <a href=\"https://www.gravitee.io/blog/tag/news\">News</a> </div> </li><li> <div> <a href=\"https://www.gravitee.io/company/diversity-equity-and-inclusion\">Diversity &amp; Inclusion</a> </div> </li> </ul> </div> </div> </div> <div class=\"ac-footer-body\"> <details class=\"ab-accordionlinkgroup\"> <summary class=\"ab-accordionlinkgroup-summary a-a\">Find API Management Solutions</summary> <ul class=\"ab-accordionlinkgroup-items\"> <li> <a href=\"https://www.gravitee.io/platform/api-management\">API Management - One platform for synchronous and asynchronous APIs</a> </li><li> <a href=\"https://www.gravitee.io/platform/access-management\">API Access Management - Secure your APIs with a Identity solution</a> </li><li> <a href=\"https://www.gravitee.io/platform/api-observability\">API Observability - Know what your APIs are doing</a> </li><li> <a href=\"https://www.gravitee.io/platform/api-developer-portal\">API Developer Portal - Build a thriving community of loyal API users</a> </li><li> <a href=\"https://www.gravitee.io/solution/devops\">Make DevOps manageable</a> </li><li> <a href=\"https://www.gravitee.io/solution/microservices\">Moving to Microservices</a> </li><li> <a href=\"https://www.gravitee.io/solution/cloud-transformation\">Cloud Transformation - Take an API first approach</a> </li><li> <a href=\"https://www.gravitee.io/blog/api-monetization\">What is API monetization? 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Key Benefits for Modern Architectures</a> </li><li> <a href=\"https://www.gravitee.io/blog/choose-the-right-api-gateway-for-your-business\">How to choose the best API Gateway for your business</a> </li><li> <a href=\"https://www.gravitee.io/blog/how-long-does-it-take-to-implement-an-api-gateway-solution\">How Long Does It Take to Implement an API Gateway Solution?</a> </li><li> <a href=\"https://www.gravitee.io/blog/scaling-apis-without-scaling-complexity\">Scaling APIs without Scaling Complexity</a> </li><li> <a href=\"https://www.gravitee.io/blog/api-gateway-fails-under-traffic-what-to-do\">What to do when your API Gateway fails under traffic</a> </li><li> <a href=\"https://www.gravitee.io/blog/api-gateway-microservices-optimizing-architecture\">API Gateway Microservices: Optimizing Architecture for Essential Efficiency</a> </li><li> <a href=\"https://www.gravitee.io/blog/simplify-your-api-gateway-stack\">Modern API Gateway Ideas to Simplify Your Stack</a> </li><li> <a href=\"https://www.gravitee.io/blog/api-solution-architecture-role-of-api-gateways\">API Solution Architecture: The Role of API Gateways in Secure and Scalable Systems</a> </li> </ul> </details><details class=\"ab-accordionlinkgroup\"> <summary class=\"ab-accordionlinkgroup-summary a-a\">Uncover AI Agent Management Solutions</summary> <ul class=\"ab-accordionlinkgroup-items\"> <li> <a href=\"https://www.gravitee.io/platform/ai-agent-management\">AI Agent Management - your Agentic AI Solution</a> </li><li> <a href=\"https://www.gravitee.io/blog/why-your-apis-and-events-arent-ready-for-ai-agents-yet\">Why Your APIs and Events Aren&#39;t Ready for AI Agents (Yet): The Case for MCP Enabled APIs</a> </li><li> <a href=\"https://www.gravitee.io/blog/googles-agent-to-agent-a2a-and-anthropics-model-context-protocol-mcp\">Google&#39;s Agent-to-Agent (A2A) and Anthropic&#39;s Model Context Protocol (MCP)</a> </li><li> <a href=\"https://www.gravitee.io/blog/introduction-to-agent-mesh-and-ai-agents\">Introduction to AI Agent Management and AI Agents</a> </li><li> <a href=\"https://www.gravitee.io/blog/agent-gateway-introduction\">Introduction to Agent Gateways</a> </li><li> <a href=\"https://www.gravitee.io/blog/mcp-model-context-protocol-agentic-ai\">AI Gateway and Agent Gateway: Key Differences</a> </li><li> <a href=\"https://www.gravitee.io/blog/managing-ai-agents\">Managing AI Agents</a> </li><li> <a href=\"https://www.gravitee.io/blog/trust-between-agents-identity-security\">Trust Between Agents: Rethinking Identity and Security</a> </li><li> <a href=\"https://www.gravitee.io/blog/ai-agent-sprawl-what-it-is-and-how-to-gain-control-over-it\">AI Agent Sprawl: What It Is and How to Gain Control Over It</a> </li><li> <a href=\"https://www.gravitee.io/blog/managing-controlling-an-agent-mesh\">Managing &amp; Controlling AI Agent Management</a> </li><li> <a href=\"https://www.gravitee.io/blog/best-practices-principles-for-agent-mesh-implementations\">Best Practices &amp; Principles for AI Agent Management Implementations</a> </li><li> <a href=\"https://www.gravitee.io/blog/turn-any-rest-api-into-mcp-server-inside-gravitee\">Turn any REST API into MCP Server inside Gravitee</a> </li><li> <a href=\"https://www.gravitee.io/blog/explore-gravitee-agent-mesh-with-langchain-and-openai\">Explore Gravitee AI Agent Management with LangChain and OpenAI</a> </li> </ul> </details><details class=\"ab-accordionlinkgroup\"> <summary class=\"ab-accordionlinkgroup-summary a-a\">Delve into Event Management Tools</summary> <ul class=\"ab-accordionlinkgroup-items\"> <li> <a href=\"https://www.gravitee.io/platform/kafka-gateway\">Event Management - Control, secure and govern your Kafka data</a> </li><li> <a href=\"https://www.gravitee.io/solution/event-driven-architecture-and-apis\">Event Driven Architecture and APIs</a> </li><li> <a href=\"https://www.gravitee.io/blog/best-event-streaming-solutions\">Best Event Streaming Solutions</a> </li><li> <a href=\"https://www.gravitee.io/blog/unlocking-capabilities-of-kafka-with-gravitee-api-management-guide-to-benefits-best-practice\">Guide - Unlocking the Capabilities of Kafka with Gravitee API Management</a> </li><li> <a href=\"https://www.gravitee.io/blog/5-key-challenges-best-practices-for-managing-kafka\">Managing Kafka: 5 Key Challenges &amp; Best Practices</a> </li><li> <a href=\"https://www.gravitee.io/blog/guide-on-kafka-topic-creation-setup-to-automation\">Comprehensive Guide on Kafka Topic Creation: From Setup to Automation</a> </li><li> <a href=\"https://www.gravitee.io/blog/secure-kafka-authentication-methods-gravitee-event-gateway\">Secure Kafka Authentication Methods in Gravitee Event Gateway: A Complete Guide</a> </li><li> <a href=\"https://www.gravitee.io/blog/kafka-proxy-made-simple-exposing-confluent-kafka-securely-as-a-websocket-api\">Kafka Proxy Made Simple</a> </li><li> <a href=\"https://www.gravitee.io/blog/manage-kafka-with-api-management\">Manage Kafka with API Management Solution</a> </li><li> <a href=\"https://www.gravitee.io/blog/kafka-security-in-modern-application-environments\">Kafka Security in Modern Application Environments</a> </li><li> <a href=\"https://www.gravitee.io/blog/authentication-mediation-for-kafka-security-on-msk\">Kafka Authentication Mediation for Kafka Security - What, Why &amp; How</a> </li><li> <a href=\"https://www.gravitee.io/blog/how-to-add-governance-to-kafka\">How to add Governance to Kafka</a> </li><li> <a href=\"https://www.gravitee.io/blog/how-to-improve-kafka-consumer-and-developer-experience\">How to Improve the Consumer and Developer Kafka Experience</a> </li><li> <a href=\"https://www.gravitee.io/blog/how-to-push-kafka-data-to-multiple-services\">How to push Kafka data to multiple services</a> </li><li> <a href=\"https://www.gravitee.io/blog/comparing-kafka-exposure-mechanisms\">What&#39;s the best way to expose Kafka to client-side applications?</a> </li><li> <a href=\"https://www.gravitee.io/blog/iot-mqtt-kafka-and-gravitee\">API Gateway MQTT</a> </li> </ul> </details><details class=\"ab-accordionlinkgroup\"> <summary class=\"ab-accordionlinkgroup-summary a-a\">Cost Guides</summary> <ul class=\"ab-accordionlinkgroup-items\"> <li> <a href=\"https://www.gravitee.io/pricing\">API Management Pricing</a> </li><li> <a href=\"https://www.gravitee.io/api-gateway-pricing-guide\">API Gateway Pricing Guide</a> </li><li> <a href=\"https://www.gravitee.io/blog/kafka-roi\">How to Maximize Your Kafka ROI</a> </li><li> <a href=\"https://www.gravitee.io/blog/managed-vs-self-hosted-api-gateway-costs\">Total cost of ownership: Managed vs self-hosted API Gateway</a> </li><li> <a href=\"https://www.gravitee.io/blog/reduce-kafka-costs\">Integration and transformation costs for event-driven systems</a> </li><li> <a href=\"https://www.gravitee.io/blog/developer-portal-implementation-cost-what-youll-spend\">Developer portal impelemantation - what you will spend</a> </li><li> <a href=\"https://www.gravitee.io/blog/cost-guide-how-gravitees-agent-mesh-helps-cut-llm-bills\">Cost Guide: How Agent Mesh Helps Cut LLM Bills</a> </li><li> <a href=\"https://www.gravitee.io/blog/reducing-your-api-observability-cost\">How Much Does API Observability add to your API ops Budget?</a> </li><li> <a href=\"https://www.gravitee.io/blog/budgeting-for-hybrid-or-multi-cloud-api-ecosystems\">Budgeting for Hybrid or Multi‑Cloud API Ecosystems</a> </li> </ul> </details><details class=\"ab-accordionlinkgroup\"> <summary class=\"ab-accordionlinkgroup-summary a-a\">Learning Hub</summary> <ul class=\"ab-accordionlinkgroup-items\"> <li> <a href=\"https://www.gravitee.io/learning-hub/a2a-summit\">A2A Learning Hub</a> </li><li> <a href=\"https://www.gravitee.io/agentic-iam-learning-hub\">Agentic IAM Learning Hub</a> </li> </ul> </details><details class=\"ab-accordionlinkgroup\"> <summary class=\"ab-accordionlinkgroup-summary a-a\">Helpful Info</summary> <ul class=\"ab-accordionlinkgroup-items\"> <li> <a href=\"https://www.gravitee.io/blog/api-gateway-solutions-and-companies-near-me-where-and-how-to-find-leading-providers-and-support\">The best API Gateway Vendors in the UK, US and Europe</a> </li><li> <a href=\"https://www.gravitee.io/blog/soap-to-rest-quick-guide-to-payload-and-message-conversion\">Transforming SOAP to REST: A Quick Guide to Payload and Message Conversion</a> </li><li> <a href=\"https://www.gravitee.io/blog/comparing-kafka-exposure-mechanisms\">The best way to expose Kafka to client-side applications</a> </li><li> <a href=\"https://www.gravitee.io/blog/confluent-rest-proxy-vs-gravitee-kafka-support\">Confluent HTTP/REST proxy vs. Gravitee Kafka proxy</a> </li><li> <a href=\"https://www.gravitee.io/blog/api-diagram\">API Diagram – what is it, what does it contain, and why use it</a> </li><li> <a href=\"https://www.gravitee.io/blog/how-to-write-your-own-policy\">Tutorial: How to Write Your Own Policy</a> </li><li> <a href=\"https://www.gravitee.io/blog/api-developer-portal\">What is an API Developer Portal</a> </li><li> <a href=\"https://www.gravitee.io/blog/graphql-capabilities\">Gravitee&#39;s GraphQL Support</a> </li><li> <a href=\"https://www.gravitee.io/blog/automating-ci-cd-with-gravitee\">Getting Started with CI/CD for Gravitee API Management: Automating CI/CD</a> </li><li> <a href=\"https://www.gravitee.io/blog/discover-best-api-marketplace\">API Marketplace: Discover The Best Platform For Showcasing APIs</a> </li><li> <a href=\"https://www.gravitee.io/blog/is-it-time-to-build-an-aws-api-developer-portal\">Is it time to build an AWS API GW Developer Portal?</a> </li><li> <a href=\"https://www.gravitee.io/blog/tutorial-gravitee-grpc-api-management\">Securing and Exposing gRPC Services with Gravitee: A Hands-On Guide</a> </li><li> <a href=\"https://www.gravitee.io/blog/exposing-nats-to-external-consumers\">API Marketplace: Discover The Best Platform For Showcasing APIs</a> </li><li> <a href=\"https://www.gravitee.io/blog/exposing-kafka-in-a-vuejs-application-with-rest-and-websockets\">Exposing Kafka in a VueJS application with REST and Websockets</a> </li><li> <a href=\"https://www.gravitee.io/blog/api-versioning-with-gravitee\">API Versioning: Building a Strong Foundation for Your Digital Ecosystem</a> </li> </ul> </details> </div> </div> <svg viewBox=\"0 0 1764.46 426.88\" aria-hidden=\"true\" class=\"ac-footer-brand\" height=\"27\" width=\"112\">\n  <defs>\n    <linearGradient id=\"a\" x1=\"223.45\" x2=\"223.45\" y1=\"12.54\" y2=\"439.42\" gradientTransform=\"matrix(1 0 0 -1 0 439.42)\" gradientUnits=\"userSpaceOnUse\">\n      <stop offset=\"0\" stop-color=\"#ff0c0b\" />\n      <stop offset=\"1\" stop-color=\"#ff8401\" />\n    </linearGradient>\n  </defs>\n  <path fill=\"#fff\" d=\"M716.92 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AI Security Platform: A Practical Guide\",\"created_at\":\"2026-07-29T15:15:10.119Z\",\"published_at\":\"2026-09-01T07:43:26.449Z\",\"updated_at\":\"2026-09-01T07:43:26.466Z\",\"id\":203360297501239,\"uuid\":\"0b8f1990-3967-4df9-bfde-8cd28236eac0\",\"content\":{\"_uid\":\"b889e545-89f2-474f-ab31-4867e27de542\",\"body\":[{\"_uid\":\"2d294b44-20fa-4afa-aa09-5e79de45b844\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agents are currently active within your infrastructure. They invoke models, trigger tools, and link requests via other agents. Many groups lack a uniform method to verify their identity, lack tool-level authorization, and lack an audit trail when issues arise. An \",\"type\":\"text\"},{\"text\":\"agentic AI security platform\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" serves as the control plane that fills those voids. It protects, governs, and monitors autonomous AI agents across the three pathways they actually utilize: LLM calls, tool execution (usually via MCP), and agent-to-agent communication (A2A). It also assigns every agent a verifiable identity.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This guide targets developers, platform engineers, and DevOps squads needing to design or assess this layer. You likely understand OAuth, JWT, and API gateways. 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The concise answer: securing agents demands governing all three paths plus a genuine agent identity layer, rather than simply attaching auth to an HTTP proxy.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"47018dd7-8f45-4d71-ac68-b044840f68b7\",\"text\":\"What is an agentic AI security platform?\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"91c35bb9-b759-4ca2-85b2-1a121640dd8a\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What is an agentic AI security platform?\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An agentic AI security platform functions as a control plane that protects, governs, and monitors autonomous AI agents across the three pathways they utilize to act: model calls (LLM), tool execution (typically MCP), and agent-to-agent communication (A2A). It also provides every agent with a verifiable, first-class identity rather than depending on shared service accounts or static keys.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This category emerged because neighboring categories do not address the problem fully.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"API gateways\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" manage HTTP traffic. They route, authenticate, and rate-limit at the request level. They do not comprehend MCP method semantics, A2A actor claims, or agent delegation chains. A standard gateway views \",\"type\":\"text\"},{\"text\":\"POST /mcp\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" as a single endpoint. It cannot enforce that one agent may call \",\"type\":\"text\"},{\"text\":\"tools/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" but not \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\".\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"AI gateways\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", in the strict sense, usually imply an LLM proxy. They add PII filtering, prompt guardrails, and token quotas on the model path. 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For a deeper look at the gateway distinction, see \",\"type\":\"text\"},{\"text\":\"AI gateway vs. agent gateway\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"http://gravitee.io/blog/ai-gateway-and-agent-gateway-introduction\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\".\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"2090f41f-2ee3-4b17-acf4-c7d9f8b834b2\",\"text\":\"Why traditional API security falls short for agents\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"26295652-836b-4da9-a483-9d0531eb95f4\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Why traditional API security falls short for agents\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most groups opt for what they already possess. They place an existing API gateway before their MCP server, issue a service account, and consider it finished. That functions in a prototype. It does not survive contact with production.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Three breakdown patterns appear rapidly.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Identity collapse.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Every agent authenticates as the same service account. When issues occur, the audit log displays one principal calling everything. You cannot distinguish agent A from agent B, and you cannot revoke one without breaking the other.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Method blindness.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" The gateway views \",\"type\":\"text\"},{\"text\":\"POST /mcp\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" as a single endpoint. It cannot enforce that agent A is permitted to call \",\"type\":\"text\"},{\"text\":\"tools/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" but not \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", or that agent B can read resource X but not resource Y. The semantics reside inside the JSON-RPC payload, not the URL.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"No delegation chain.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" When an agent acts on behalf of a user, there is no auditable record of that fact. The downstream system views the agent. It does not view the user the agent represents, or the chain of agents that may have been involved.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Static API keys, shared service accounts, and broad OAuth scopes were designed for a world where one client meant one application. Autonomous systems that chain calls across tools and other agents break that assumption.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"76c32da0-357e-455d-ae9c-7c1d2705b8e9\",\"text\":\"The agent threat model: what you are actually defending against\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"c53e22ef-ee42-4bd3-b0d6-2f9687039084\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"The agent threat model: what you are actually defending against\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Prior to assessing any platform, get clear on what you are defending against. These threats are not theoretical. They are appearing in production deployments now.\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Prompt injection.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Attackers manipulate the LLM through inputs (user prompts, retrieved documents, tool outputs) to make it do something it should not. Mitigation: prompt guardrails at the gateway, applied before the prompt reaches the model.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Tool abuse\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". Agents invoke tools they should not, either because they are tricked or because their scope is too broad. Mitigation: method-level ACLs on MCP and scoped, short-lived tokens.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Identity spoofing\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". Agents impersonate users or other agents because credentials are shared or long-lived. Mitigation: per-agent identity with short-lived tokens and RFC 8693 actor claims that prove who the agent is and on whose behalf it acts.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Privilege escalation through chaining\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". Agent A calls agent B, which calls a privileged tool. Each hop adds permissions the original user never had. Mitigation: automatic token downscoping at each delegation and session-aware revocation.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Data exfiltration via LLM context\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". Sensitive data leaks into prompts or responses, either deliberately or as a side effect of retrieval. Mitigation: PII filtering at the proxy on both request and response paths.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Runaway spend.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" An autonomous loop calls a paid model thousands of times before anyone notices. Mitigation: token rate limiting and quotas per agent, per team, per application.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"For a deeper read on the MCP-specific threat surface, see the \",\"type\":\"text\"},{\"text\":\"OWASP MCP Top 10 and AI IAM.\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"http://gravitee.io/blog/the-owasp-mcp-top-10-and-ai-iam-why-agents-need-identity-first-security\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"89e2b87a-6b04-43fc-886b-4b18fdf05c73\",\"text\":\"Core capabilities of agentic AI security platforms\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"416c21e9-c1d3-48f3-b8f2-61c61159c474\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Core capabilities of agentic AI security platforms\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"When assessing agentic AI security platforms, you are really comparing seven capabilities. Each addresses a specific gap in the threat model above.\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent identity management\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". Per-agent credentials, not shared accounts. Lets you authenticate, audit, and revoke at the agent level.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Fine-grained authorization\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". Enforcement at the tool, method, and resource level, not just HTTP path. Required for any meaningful least-privilege policy.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Protocol-aware policy enforcement\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". Native handling of LLM, MCP, and A2A. Generic HTTP proxying is not enough.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Runtime observability.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Token spend, tool invocations, delegation chains, and agent interaction graphs. HTTP metrics alone hide what agents are doing.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Delegation and on-behalf-of support\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". RFC 8693 Token Exchange with act claims, automatic downscoping, and session-aware revocation.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Integration with existing IdPs and gateways. \",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\"Federation with Okta, Azure AD, Keycloak, and friends. Drop-in, not rip-and-replace.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Audit and compliance reporting\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". A single, query-able trail of every agent action, tied to identity and delegation context.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most agentic AI security platforms claim some subset of these. The differences are usually depth, protocol coverage, and whether the platform was built for agents from the start or adapted from a human-centric IAM or a generic gateway.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"4635e0d3-6894-4035-b250-9baa39011287\",\"text\":\"Agent identity: the foundation of agentic AI security\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"e32b7630-f54a-4a2f-a254-89a0342c10d3\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Agent identity: the foundation of agentic AI security\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Identity is where most agent security initiatives succeed or fail. If you cannot identify the agent, nothing else you do matters. The audit trail is meaningless, the authorization decisions are coarse, and revocation is all-or-nothing.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Several principles distinguish a real agent identity layer from a glorified API key store.\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"OAuth 2.1 with PKCE, not API keys. Static API keys do not expire, do not carry scope context, and cannot be revoked without breaking every agent that shares them. OAuth 2.1 with PKCE gives you short-lived, scoped, revocable tokens.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"RFC 8693 Token Exchange for delegation. When an agent acts on behalf of a user, it should not just hold the user's token. It should exchange that token for an agent token that carries an act (actor) claim. The actor claim says: \\\"This token was issued to user X, but is being used by agent Y.\\\" Every downstream system sees both. The audit trail is complete.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Automatic downscoping. When agent A calls agent B, agent B should not inherit agent A's full scope. Each exchange should narrow permissions to what the next step actually needs. That stops privilege escalation through chaining.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Session-aware revocation. When the user logs out or the session ends, every delegated agent token in the chain dies with it. No stale credentials, no orphaned agents holding live tokens.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"ReBAC/FGA via OpenFGA. Role-based access control is too coarse for resource-level decisions. Relationship-based access control (ReBAC) with OpenFGA lets you express \\\"agent Y can read resource R because user X owns R and Y is acting on behalf of X.\\\" That is the actual policy you want.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Gravitee calls this layer Agentic IAM. The exact term matters: not Agent IAM, not AI IAM. For the full architectural argument, see \",\"type\":\"text\"},{\"text\":\"Agentic IAM: the future of identity.\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/agentic-iam-the-future-of-identity-in-an-ai-driven-world\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"196c6428-6ce5-439c-bbbb-dd2e2ae22393\",\"text\":\"Protocol-aware governance: LLM, MCP, and A2A\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"203f3e19-6c2c-4c9b-a4c8-47d963c6a235\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Protocol-aware governance: LLM, MCP, and A2A\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Identity grants access. Protocol-aware governance is what enforces the rules once the agent is inside. Each pathway requires specific controls.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"LLM path\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The model path is where most teams start because it is the most visible cost center. Useful controls include:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"PII filtering on prompts and responses, with configurable thresholds (redact, block, flag).\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Prompt guardrails that classify and block jailbreak attempts, prompt injection patterns, toxicity, and harmful intent before the prompt reaches the model.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Semantic caching that serves cached answers for semantically similar prompts, reducing token spend and latency. For a tactical look, see \",\"type\":\"text\"},{\"text\":\"semantic caching for LLMs\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/semantic-caching-for-llms-how-to-reduce-ai-costs-and-latency-at-the-gateway\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\".\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Token rate limiting per agent, team, or application, with real-time cost attribution.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Model routing and failover across providers, so you can swap underlying models without changing agent code.\",\"type\":\"text\"}]}]}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"MCP path\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The tool path is where most damage actually happens, because tools are how agents change state. Controls here have to be method-aware:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Method-level ACLs on \",\"type\":\"text\"},{\"text\":\"tools/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"prompts/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"resources/read\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"resources/subscribe\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\". Different agents get different methods.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"OAuth 2.1 authorization for MCP servers. Short-lived bearer tokens replace static keys.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Tool invocation throttling to stop runaway loops from overwhelming backends.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Resource-level FGA via OpenFGA, so authorization decisions reflect actual relationships (owner, member, delegate), not static roles.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"For the implementation pattern, see \",\"type\":\"text\"},{\"text\":\"the MCP Resource Server V2\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/elevating-mcp-security-with-gravitees-mcp-resource-server-v2\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\".\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"A2A path\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The agent-to-agent path is the newest and least understood. It is also where privilege escalation gets out of hand fastest. Controls include:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent-to-agent authentication. Every A2A call is authenticated. No anonymous agent traffic.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Token exchange for on-behalf-of flows. When agent A calls agent B, the platform exchanges tokens and inserts actor claims. The full delegation chain is preserved.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Topology observability across the agent interaction graph. You can see which agents are calling which agents, and trace any action back to the originating user.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"For the delegation details, see \",\"type\":\"text\"},{\"text\":\"trusted on-behalf-of agent delegation\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"http://gravitee.io/blog/trusted-on-behalf-of-agent-delegation-in-gravitee-4.11\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\".\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"9f23f8ec-b5cb-446a-9cb1-f16062a032aa\",\"text\":\"Federating control across APIs, events, and agents\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"8f4a96e2-f368-4422-b7e5-b72a0b146a0e\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Federating control across APIs, events, and agents\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This is the area most vendors bypass. Most enterprises do not get to start clean. You have AWS API Gateway in one business unit, Apigee in another, Azure API Management for a third. Kafka brokers handle real-time data. And now agents are landing on top of all of it.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A functional agentic AI security platform federates governance across this landscape. One catalog. One policy layer. One audit trail. You do not rip and replace your existing gateways or brokers. You add an agent governance layer that integrates with them.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Gravitee federates across AWS API Gateway, Apigee, Azure APIM, IBM API Connect, Confluent, and Solace. Whatever is running today stays running. The agent governance layer sits alongside, with one developer portal and one observability stack covering APIs, event streams, and agents together.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This matters for two reasons. First, it eliminates the migration tax. Second, it gives you one place to answer the audit question: who did what, to which resource, on whose behalf, and were they allowed to. For the observability angle, see \",\"type\":\"text\"},{\"text\":\"AI observability for enterprise teams\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/ai-observability-for-enterprise-teams-monitor-mcp-tools-llm-costs-and-agent-traffic-in-one-place\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\".\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"40a374f5-ac0f-43d0-a624-54b683cfb647\",\"text\":\"How to evaluate an agentic AI security platform\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"9c5c76f4-5ebd-481f-8a88-e73c57085388\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"How to evaluate an agentic AI security platform\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"During vendor discussions, pose these inquiries. The responses reveal whether the platform was built for agents or retrofitted.\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Does it issue distinct identities per agent, or just proxy shared credentials?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Can it enforce at the MCP method level (\",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"resources/read\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\"), or only at the HTTP path level?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Does it support RFC 8693 token exchange for delegation, with \",\"type\":\"text\"},{\"text\":\"act\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" claims and automatic downscoping?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Does it integrate with your existing IdP (Okta, Azure AD, Keycloak), or does it require replacement?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Can it govern agents alongside existing APIs and event streams, or is it a separate silo?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Is observability protocol-aware (token spend, tool invocations, delegation chains), or just HTTP metrics?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Is it built on open standards (OAuth 2.1, OpenFGA, MCP, A2A, AuthZen) or proprietary SDKs?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Does it run in your deployment model (cloud, on-prem, hybrid, air-gapped)?\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Many agentic AI security platforms answer yes to two or three of these. Few answer yes to all eight. The gap between \\\"we support MCP\\\" and \\\"we enforce method-level ACLs on MCP\\\" is the gap between marketing and production.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"fc4fb43a-3845-4161-9d92-742becfd9564\",\"text\":\"Reference architecture: deploying agent security with Gravitee\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"8a369668-5de7-42c5-a4bf-69e268d9deb8\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Reference architecture: deploying agent security with Gravitee\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A Gravitee-driven agent security architecture comprises three tiers.\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Identity layer. \",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\"Gravitee Access Management acts as the authorization server. It federates to your existing IdP (Okta, Azure AD, Keycloak) for user authentication, and it issues scoped, short-lived agent tokens. It handles RFC 8693 token exchange, MCP authorization, and FGA via OpenFGA.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Runtime layer.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" The Gravitee AI Gateway enforces policies across all three paths. LLM Proxy handles model calls with PII filtering, guardrails, semantic caching, and token quotas. MCP Proxy enforces method-level ACLs, tool throttling, and resource-level FGA. A2A Proxy authenticates agent-to-agent calls and preserves delegation chains. Agent Tool Server exposes existing REST APIs as governed MCP tools through OpenAPI import, with no backend code changes required.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Governance layer.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" The Agent Catalog registers every agent with standardized metadata. The Developer Portal provides unified discovery across APIs, event streams, and agents. Federated API management extends governance to third-party gateways (AWS API Gateway, Apigee, Azure APIM, IBM) and event brokers (Confluent, Solace).\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Gravitee is recognized as a market leader in API management by independent industry analysts, and is also represented in independent research on AI gateways. The relevance for agent security is the unified control plane: APIs, events, and agents governed from one place, with one identity model and one audit trail.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Ready to see it in your environment? \",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\"Book a demo\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/demo\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}},{\"type\":\"bold\"}]},{\"text\":\".\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"eeb3de2a-07c7-4530-97c2-282dba049eae\",\"text\":\"Frequently Asked Questions\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"fae16b48-b125-426e-9104-26fd0c465f57\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Frequently Asked Questions\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"d90e1218-e31c-48f6-a576-98504fc28ced\",\"items\":[{\"_uid\":\"d8ba6b1b-ef63-4a7b-b0ff-c23a3b5029ea\",\"body\":[{\"_uid\":\"40a6157a-8ef4-415d-9b0f-e6370289949c\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Probably yes. A standard API gateway covers HTTP traffic. It does not understand MCP method semantics, A2A communication patterns, or agent identity and delegation. Most teams end up running both: the existing gateway continues to handle REST and GraphQL traffic, and an agentic AI security platform layers on top to govern the agent-specific paths. The right platform integrates with your existing gateway rather than replacing it.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"Do I need an agentic AI security platform if I already have an API gateway?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"af10a137-44bb-459c-93c7-e96b3a7a5daa\",\"body\":[{\"_uid\":\"e37d4f72-a578-42ae-8f21-5fa435bd1f7d\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"NHI platforms typically manage long-lived service accounts, machine credentials, and API keys. Agents are different. They are often ephemeral, they act autonomously, and they frequently act on behalf of human users. They need short-lived, scoped tokens with auditable delegation chains, not static credentials. NHI is a useful primitive, but agent identity is a superset that adds delegation, downscoping, and session-aware revocation.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"How is this different from non-human identity (NHI) management?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"d469275e-2799-4d31-aa3e-94f364594d60\",\"body\":[{\"_uid\":\"abe7717a-fb28-4d1e-9fb8-b62a649665af\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Yes. A good agentic AI security platform federates with your existing IdP (Okta, Azure AD, Keycloak, Ping) over OIDC or SAML. The platform handles MCP-aware token validation, agent-specific delegation, and tool-level scopes on top of your existing user authentication. Drop-in, not rip-and-replace.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"Can I secure AI agents without replacing my existing identity provider?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"b7391162-464c-4a89-a4e7-0fe25a7868a1\",\"body\":[{\"_uid\":\"c9ee4532-fad1-4e01-8b61-6755ab9119c2\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The core stack is OAuth 2.1, PKCE, RFC 8693 (Token Exchange), OpenID Connect, MCP (Model Context Protocol), A2A (Agent-to-Agent), OpenFGA for fine-grained authorization, and AuthZen for engine-agnostic PEP/PDP architecture. Be cautious of platforms that lean on proprietary protocols or custom SDKs. The agentic ecosystem is moving fast, and open standards are how you avoid lock-in.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"What standards do agentic AI security platforms rely on?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"4b475a8f-21bd-4e33-afef-e00f8917473e\",\"body\":[{\"_uid\":\"9d2bc365-6211-43e7-9be3-072416884862\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"At the gateway, through AI-powered text classification that blocks jailbreak, toxicity, and harmful-intent patterns before the prompt reaches the model. Pair that with PII filtering on prompts and responses, and token quotas to limit blast radius if a malicious prompt does get through. No single control stops every attack. Layered controls, applied consistently at the gateway, are how you reduce risk to an acceptable level.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"---\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Without the ability to identify an agent, scope what it can call, or revoke its access mid-session, you do not have agent security. You have a hope. 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Architecture, Benefits, and Tools\",\"created_at\":\"2026-07-29T15:15:06.915Z\",\"published_at\":\"2026-08-26T05:37:09.143Z\",\"updated_at\":\"2026-08-26T05:37:09.162Z\",\"id\":203360284357173,\"uuid\":\"ee8cf4b0-cad8-45ca-80c2-f8f249a61a2c\",\"content\":{\"_uid\":\"0e0e0503-ac19-4902-8fc9-a86ce6c824b9\",\"body\":[{\"_uid\":\"fef2a855-8f1b-4ed6-a003-af436b5e15fe\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Five groups are deploying AI agents. Each group embeds its own API keys directly, invokes LLMs directly, and keeps prompts in a shared document. Your security squad inquires who an agent contacted last Tuesday, and nobody can respond. Token billing appeared on the invoice before anyone realized it was rising. Does this ring a bell?\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An agent mesh functions as an execution layer that provides AI agents with identity, secure communication routes, and central oversight across model calls, tool execution, and agent-to-agent traffic. It serves as the missing foundation between your agents and every system they interact with.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This piece provides the practical definition, details how an agent mesh processes a real request, explains the delay calculations, and outlines a framework for selecting the right tool. If you have deployed a service mesh or managed an API gateway, the concepts will feel recognizable. The protocols and identity model will not.\",\"type\":\"text\"}]},{\"type\":\"horizontal_rule\"},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Key Takeaways\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An agent mesh functions as an execution layer that provides AI agents with identity, secure communication routes, and central oversight across LLM calls, tool execution (MCP), and agent-to-agent (A2A) traffic.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Without a mesh, agent deployments break apart into direct integrations with shared API keys, lacking an audit trail and lacking protocol-level control.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A true agent mesh governs three paths: model (LLM), tool (MCP), and agent (A2A). Anything less is simply a proxy with a new name.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Latency reductions stem from semantic caching, model routing, and centralized policy checking at the gateway, rather than from smarter agent code.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Tool selection should rely on identity model, protocol support, and federation with existing API and event infrastructure.\",\"type\":\"text\"}]}]}]},{\"type\":\"horizontal_rule\"},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"e44559b0-ae8f-4bab-97bc-9c3759a682b9\",\"text\":\"What is an agent mesh?\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"337e676b-7128-4096-ad21-f84b096071c6\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What is an agent mesh?\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An agent mesh is not a construction kit for building agents. It is not a runtime that executes agent logic. It is the oversight and connectivity layer positioned between your agents and everything they must interact with: large language models, tools exposed via Model Context Protocol (MCP), other agents communicating over Agent-to-Agent (A2A) protocol, data sources, and humans.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"If you have worked with service mesh, the comparison is incomplete. A service mesh governs internal traffic between microservices using mTLS-based service identity. An agent mesh governs three new paths that microservices never had to handle, and each one needs its own control model:\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent to LLM (model path): Calls to OpenAI, Anthropic, Bedrock, Gemini, Vertex. Requires prompt safeguards, PII filtering, token rate limiting, and cost attribution.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent to tool (MCP path): Tool identification and execution via the Model Context Protocol. Requires method-level authorization (\",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"resources/read\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\"), tool-level quotas, and OAuth 2.1 token validation.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent to agent (A2A path): Peer-to-peer agent communication. Requires provable agent identity, delegation chains with actor claims, and topology observability.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The analogy to service mesh fails because agents need identity and protocol-aware policy in ways services never did. A microservice has a static identity issued by the platform. An agent acts on behalf of a user, a team, or another agent, often with delegated authority that should expire when the user logs out. The mesh has to track that.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"e36e9b55-f68c-402f-9226-bd091e70bc44\",\"text\":\"Why agent mesh architecture exists\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"716d6fba-9bb5-44ce-b4b0-88f45731a909\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Why agent mesh architecture exists\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The issue isn't inability to deploy agents. The issue is what happens after three or four teams deploy them concurrently.\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent proliferation. Multiple teams pick multiple frameworks. One team uses LangChain, another uses Claude directly, a third writes custom Python. No shared identity, no shared logging, no shared policy.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Common service accounts. Every agent uses the same API key. The audit log says \\\"agent did it\\\" with no further detail. Security cannot tell which user or task drove the call.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Tool proliferation. Each new tool integration ships with its own custom auth code. Authentication logic gets copy-pasted, then drifts.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Financial opacity. Token spend per team, per agent, per workflow is invisible until the invoice arrives. By then you have a month of overage and no attribution data.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"No deactivation route. When a user logs out, the agent tokens keep working. There is no mechanism to invalidate the delegation chain.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Does any of this sound like the API sprawl problem from ten years ago? Same shape, worse impact scope. Agents take action. They do not just return data.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"e50cdfed-f44d-4850-8da4-938e2090c71a\",\"text\":\"How does an agent mesh work?\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"be66d142-5a47-4d70-863e-86484d8657b5\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"How does an agent mesh work?\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Trace a single agent request from start to finish:\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An agent receives a task. Before doing anything else, it presents a provable identity. In most modern designs this is an OAuth 2.1 token, often issued via RFC 8693 token exchange so the agent acts on behalf of a specific user with a traceable actor claim.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The mesh verifies the identity. It checks the token, verifies the actor chain, and evaluates fine-grained authorization: which tools, which models, which other agents this identity is allowed to talk to.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The request directs via the appropriate proxy. If the agent is calling an LLM, it goes through the LLM Proxy. If it is invoking a tool, it goes through the MCP Proxy. If it is calling another agent, it goes through the A2A Proxy.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Each proxy enforces protocol-specific rules. The LLM Proxy enforces prompt safeguards and PII filtering, tracks token consumption, and may serve a semantically cached response. The MCP Proxy enforces method-level ACLs and tool-level quotas. The A2A Proxy validates actor claims and shapes traffic across agent task flows.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Monitoring records the full trace. Which agent, which user it acted for, which tool or model it called, how many tokens it consumed, the delay at each hop. This trace is what your security team needs to answer the Tuesday question.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Notice that the agent code does not handle any of this. The mesh enforces the policy. The agent just calls a known endpoint with its token, and the proxy does the rest.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"For a deeper look at how MCP and the broader agent gateway pattern fit together, see \",\"type\":\"text\"},{\"text\":\"the introduction to the AI gateway and agent gateway\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/ai-gateway-and-agent-gateway-introduction\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\". For more on agent identity, the \",\"type\":\"text\"},{\"text\":\"post on Agentic IAM\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/agentic-iam-the-future-of-identity-in-an-ai-driven-world\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" covers the delegation model in depth.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"96fb76d5-3f4d-4b00-930d-603da79d6768\",\"text\":\"Anatomy of an agent mesh: core components\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"8c91b7f9-61af-4738-aae6-2bb281c276cf\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Anatomy of an agent mesh: core components\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An enterprise-ready agent mesh has six elements. Each one corresponds to a specific control plane duty:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent identity provider (Agentic IAM). Issues provable identities and short-lived tokens per agent. Supports OAuth 2.1, PKCE, RFC 8693 token exchange. This is where delegation chains are minted and revoked.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent gateway / data plane. The runtime that enforces routing and policy for LLM, MCP, and A2A traffic. This is the request-path component.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent catalog / registry. Where agents register their capabilities (often as agent cards), and where consumers discover what is available. Treats agents as first-class products, not undocumented endpoints.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Tool server. Exposes existing REST APIs as MCP-compliant tools without rewriting the backend. You import an OpenAPI spec, and the gateway generates the MCP tool definitions automatically.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Policy engine. Evaluates fine-grained authorization in real time. ReBAC via OpenFGA and AuthZen-compliant PEP/PDP integration are emerging as standard.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Observability layer. Token usage per team, tool invocation patterns, A2A topology, cost attribution per agent or workflow. Without this, you have no audit trail and no way to control spend.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"You will see these components named differently across vendors. Some bundle the catalog and the gateway. Some treat the policy engine as part of the IAM. The functional split is what matters.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"104af59e-2cb5-4a27-b4e7-23285d17a43c\",\"text\":\"Agent mesh vs. service mesh vs. API gateway\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"f4e553d6-3c00-4594-93bb-45e4001e2cf7\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Agent mesh vs. service mesh vs. API gateway\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This comparison arises in every architecture review. The short answer: an agent mesh does not replace either of the other two. Most enterprises will unify all three through a unified control plane.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"API gateway:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Governs North-south HTTP traffic | Identity: API keys, OAuth scopes for humans and apps | Protocols: HTTP, REST, GraphQL\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Service mesh:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Governs East-west service traffic | Identity: mTLS service identity | Protocols: TCP, HTTP\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent mesh:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Governs Agent traffic (LLM, MCP, A2A) | Identity: Verifiable agent identity with delegation | Protocols: LLM APIs, MCP methods, A2A protocol\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The key point: an API gateway forwards HTTP. A service mesh secures pod-to-pod. An agent mesh has to understand that \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" is a different operation from \",\"type\":\"text\"},{\"text\":\"tools/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", that an actor claim defines a delegation chain, and that a token might need to be downscoped before being passed to a downstream agent. Generic HTTP proxies cannot do that.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This is where federation matters. Most enterprises already have an API gateway and probably a service mesh. The agent mesh should plug into that landscape, not replace it. \",\"type\":\"text\"},{\"text\":\"Federated API Management\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/platform/api-management\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" is the integration point: one control plane across APIs, events, and now agents.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"145582fb-5e72-49d2-8c95-7f3cfce0a6c4\",\"text\":\"Benefits of agent mesh architecture\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"0dd4a9f4-64a5-4205-a090-1552adc3deec\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Benefits of agent mesh architecture\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"What does an agent mesh provide that you cannot get by writing more careful agent code?\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Provable agent identity. Every action ties back to a specific agent and the user it acted on behalf of. The Tuesday question becomes answerable.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Unified policy enforcement. Change one rule, apply it across hundreds of agents. No more updating fifteen agent codebases when a security policy changes.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Expense management. Token rate limiting and semantic caching cap spend before the invoice arrives. You can attribute cost to teams, agents, or workflows.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Quicker setup. New tools and agents register through configuration, not code. A tool added to the catalog is immediately discoverable.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Audit and compliance. Full trace of every LLM call, tool invocation, and A2A interaction. Your security team gets the audit log they have been asking for since the first agent shipped.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Smaller impact scope. Short-lived, scope-bound tokens replace shared API keys. A compromised agent does not compromise the entire fleet.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Framework flexibility. Govern LangChain, Claude, custom Python, and hyperscaler-hosted agents through one plane. The mesh does not care what framework built the agent, as long as it can present a token.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most teams that adopt an agent mesh reduce duplicate auth and policy work across agents. The exact savings depend on how much custom code you have and how many frameworks are in play.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"25a2443e-d259-4fc4-92fb-b43adf0f2604\",\"text\":\"How agent mesh reduces latency\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"d1833b1e-711a-4ca0-a05c-4b46325e8663\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"How agent mesh reduces latency\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Delay in agent systems stems from three sources: LLM round-trips, tool calls, and policy checking. A mesh addresses all three.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Semantic storage at the LLM proxy. Cache responses by semantic meaning, not exact string match. Repeated similar prompts (think customer support flows) skip the LLM entirely and return a cached answer in single-digit milliseconds.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Model direction and failover. Route to the cheapest or fastest model that meets the task. Fail over when a provider degrades, without rewriting agent code. Switching from a 4-second model to a 1-second model is a config change, not a deploy.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Policy checking at the gateway, not in agent code. The Policy Decision Point runs once at the proxy. Agents do not re-authenticate or re-authorize on every hop. This matters when an A2A chain has three or four agents in sequence.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Connection recycling. The data plane maintains pooled connections to LLM providers and MCP servers, avoiding TLS handshake overhead on every call. At high request volumes, this saves real time per request.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Local enforcement. When identity and policy live in the same plane as the gateway, no out-of-band IdP call is needed per request. Token introspection happens locally.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The actual reduction depends on your workload, your cache hit rate, and how many model calls your agents make. The mechanics are real. The percentages depend on you.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"6973a780-5517-4a98-b508-1bb6fc8d4b1f\",\"text\":\"Best agent mesh tools in 2026\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"cc5d56b0-41bf-4be8-8f26-1f043fda9962\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Best agent mesh tools in 2026\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Don't begin with a vendor roster. Begin with standards. Here is what to evaluate before you take a vendor call:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Does it govern all three paths (LLM, MCP, A2A) or just proxy HTTP?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Does it give agents a first-class identity, or rely on shared service accounts?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Does it federate with your existing API and event infrastructure, or force you into a new silo?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Does it support open standards (OAuth 2.1, MCP, A2A, OpenFGA) or proprietary SDKs?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Does it run in your deployment model (self-hosted, cloud, hybrid)?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Does the observability layer report on agent behavior or just HTTP metrics?\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Now the groups. Most tools in the market today fall into one of these four:\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"API management suites with agent capabilities. Extend existing API and event governance to agents. Best fit for enterprises that already have an API platform and want one control plane for APIs, events, and agents. This is where \",\"type\":\"text\"},{\"text\":\"Gravitee's agent management capabilities\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/platform/ai-agent-management\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" sit: LLM Proxy, MCP Proxy, A2A Proxy, Agentic IAM, Agent Tool Server, and Agent Catalog, federated with the existing API and event gateways.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Event-broker focused meshes. Built on a messaging backbone. Strong for event-driven agent workflows. Weaker on synchronous API governance and on MCP method-level enforcement.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Service mesh add-ons. Extend Kubernetes service mesh primitives to agent traffic. Strong for teams already deep in Kubernetes and Istio or Linkerd. Requires significant service mesh expertise and tends to underdeliver on agent identity.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Marketplace focused platforms. Agent registry plus a marketplace storefront. Easier to start with for greenfield agent projects. Higher risk of lock-in on proprietary agent definitions.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The right group depends on what you already run. If you have an API gateway and an event broker in production, the API management category gives you the smallest integration surface and the most reuse of existing policy, identity, and observability infrastructure.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"076fda6d-1f50-44e5-b73b-8448abee8782\",\"text\":\"How to evaluate an agent mesh for your stack\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"587e920a-a017-40c8-922a-c3f4916d8344\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"How to evaluate an agent mesh for your stack\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Bring this checklist to your next vendor call:\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Chart your existing agents. How many, which frameworks, which models, which tools. If you do not know, that is your first signal.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Catalog your current infrastructure. API gateway, event broker, IdP. The mesh must federate with these, not replace them.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Set your identity model. Are you ready to give every agent its own identity? If your security team does not yet require this, raise the question now.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Select three workloads to govern first. One LLM-heavy (cost-driven), one tool-heavy (authorization-driven), one A2A (delegation-driven).\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Record baseline. Token spend, average delay, audit gaps. You need this to prove the mesh did what it promised.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Do this before the demo. The vendor will appreciate the specificity, and you will get a better demo.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"8ae4e7a6-d3dc-47b1-91f9-70730bf4b25e\",\"text\":\"Frequently Asked Questions\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"e45ebdf6-5fa4-4f8f-9154-e888092e9b3e\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Frequently Asked Questions\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"bbd8a88f-1ef6-400c-bf82-e070a051c51d\",\"items\":[{\"_uid\":\"b814c6d5-85be-4c58-b39c-e23ffde88dd0\",\"body\":[{\"_uid\":\"a7d4af56-48c9-43e2-80a4-640566267baf\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A service mesh governs internal traffic between microservices using mTLS-based service identity. An agent mesh governs three new paths (LLM, MCP, A2A) and requires provable agent identity with delegation chains. The protocols and the identity model are fundamentally different.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"What is the difference between an agent mesh and a service mesh?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"83392758-f0ac-4564-8009-2c7c6bd5a8c8\",\"body\":[{\"_uid\":\"df1d3aa6-dce5-404e-906b-52f29af44c99\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"In most enterprises, an agent mesh is the agent-era extension of API management, not a separate platform. Agents call APIs (often exposed as MCP tools), and APIs are how agents reach systems of record. Federating the agent mesh with your existing API gateway gives you one control plane, one policy engine, and one observability stack across APIs, events, and agents.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"How does an agent mesh relate to API management?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"60f9105b-148d-48f8-91aa-088027dcf280\",\"body\":[{\"_uid\":\"6bc33e91-9746-4ebf-b7d1-60ac2fb6e442\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The three main ones are Model Context Protocol (MCP) for tool identification and execution, Agent-to-Agent (A2A) protocol for peer agent communication, and standard LLM provider APIs for model calls (often OpenAI-compatible). On the identity side, OAuth 2.1 with PKCE and RFC 8693 token exchange are emerging as the defaults.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"What protocols does an agent mesh use?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"55dd1267-367e-4aef-9c09-95e23fd7031c\",\"body\":[{\"_uid\":\"ce42af92-6efd-4815-a595-11c6df8345be\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Probably not yet. The threshold is roughly three or more teams deploying agents, multiple frameworks in play, or agents accessing production data. Below that, lightweight conventions and shared libraries are enough. Above that, you start to need centralized identity, policy, and observability.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"Do I need an agent mesh if I only run one or two agents?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"0a69e3bd-cdb1-42b7-a1dc-c951f3fcd279\",\"body\":[{\"_uid\":\"bec754fd-6db7-484d-85f2-78b9366f163e\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Each agent gets a provable identity, usually issued through OAuth 2.1 with PKCE. When an agent acts on behalf of a user, the mesh uses RFC 8693 token exchange to mint a scoped, short-lived agent token with an actor claim. 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A Developer's Guide to Autonomous Systems\",\"created_at\":\"2026-07-29T15:14:08.820Z\",\"published_at\":\"2026-08-25T04:30:24.167Z\",\"updated_at\":\"2026-08-25T04:30:24.187Z\",\"id\":203360046412325,\"uuid\":\"57310eba-79dd-442d-a776-1bc11a293644\",\"content\":{\"_uid\":\"0fea4147-3a06-44d4-8062-def9aa89cde5\",\"body\":[{\"_uid\":\"764b03a6-417f-4de4-a108-d7871a7dd44f\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agentic AI\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" is not merely a chatbot that converses. It is software that executes tasks independently. It interprets context, determines the next move, invokes tools, and persists until the objective is achieved.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This transition from creating content to executing action distinguishes agentic AI. It is also what complicates safe deployment. The instant an AI system gains access to your billing API, your CRM, or your Kafka topic, the inquiry shifts from \\\"is the model effective?\\\" to \\\"who granted this permission, and can you demonstrate it during an audit?\\\"\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This guide dissects what agentic AI truly entails, its mechanics, its presence in production environments, and the considerations developers and platform teams must address before allowing agents to interact with live systems. If you wish to jump straight to the governance perspective, Gravitee's work on \",\"type\":\"text\"},{\"text\":\"AI Agent Management\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/platform/ai-agent-management\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" details runtime controls extensively.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"4b67886c-b9c9-4757-b32e-62766ae6ec0f\",\"text\":\"Agentic AI explained simply\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"e7d45698-dd35-4f2e-b296-b592a3ed55ac\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Agentic AI explained simply\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Consider this working definition: agentic AI is a software system that perceives its surroundings, reasons toward a goal, outlines steps, and executes via tools, requiring minimal or no human prompts for each individual step.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Deconstruct the term. \\\"Agentic\\\" derives from agency, the ability to act. Several terms are used interchangeably, so clarifying them is useful:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"AI agent is the noun. The entity performing the labor.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agentic AI is the adjective. A system exhibiting agency.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agentic is the trait of planning and acting without step-by-step instruction.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A tangible example clarifies this. A generative AI drafts an email when prompted. An agentic AI monitors the inbox autonomously, spots the customer issue, queries the CRM for order history, composes a reply, requests approval if the refund exceeds a limit, and dispatches the message. The underlying language model is identical. The operational impact is vastly different.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"One concept to grasp before proceeding: agentic AI utilizes Large Language Models (LLMs) as a reasoning engine, but its hallmark is tool usage, the capability to invoke APIs, query databases, and initiate workflows. The model is the brain. The tools are the hands. Without the hands, you lack agentic AI.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"f7637f52-8cc3-4298-be25-8822ba0b87d7\",\"text\":\"Agentic AI vs traditional AI\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"ec1baf75-5838-493b-9b3c-61340b8c3b53\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Agentic AI vs traditional AI\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"How does this differ from ChatGPT, RPA, or existing AI solutions? A side-by-side comparison clarifies the distinction.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Dimension:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Traditional AI | Generative AI | Agentic AI\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Primary output:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Prediction or classification | Content | Actions in external systems\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Trigger:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Scheduled or rule-based | User prompt | Goal, environment change, or scheduled trigger\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Memory:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Stateless | Single-session | Persistent across steps and runs\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Tool use:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" None | Limited (function calling) | Core capability (APIs, MCP servers, A2A)\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Human-in-the-loop:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Required for action | Required for action | Optional, configurable per step\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Failure mode:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Wrong prediction | Wrong content | Wrong action with real consequences\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"What about RPA? Robotic process automation adheres to scripts. Agentic AI plans. RPA fails when the UI changes. Agentic AI adjusts. However, RPA is deterministic while agentic AI is probabilistic, which is precisely why governance becomes more critical, not less.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The distinction between generative AI and agentic AI is the difference between a copy editor suggesting an answer and a colleague executing the action.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"f64fa0a0-f5c1-4046-8fe5-94cf81b31f57\",\"text\":\"How does agentic AI actually work?\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"67f6504e-cbb8-4a50-8dd1-6a12681ee5de\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"How does agentic AI actually work?\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Under the hood, every agentic AI system executes a loop. The loop consists of several canonical steps:\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Perceive.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" The agent absorbs context: user input, environment state, retrieved documents, recent tool outputs.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Reason.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" An LLM assesses the goal against the current state and determines the next step.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Plan.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" For complex goals, the agent divides the work into sub-tasks. Some frameworks term this chain-of-thought or ReAct.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Act.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" The agent invokes a tool: an API, an MCP server, a database query, another agent.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Observe.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" The tool returns a result. The agent refreshes its memory.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Reflect.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" The agent decides if the goal is achieved. If not, the loop repeats.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Several components enable this loop to function in production:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Memory merges a short-term context window with a long-term vector store.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Tools are the verbs accessible to the agent, typically exposed as APIs or MCP-compliant endpoints.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Orchestration is the framework or runtime driving the loop. LangGraph, Claude, custom code.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Here is the critical point for developers: every Act step constitutes an API call. Every API call requires authentication, authorization, rate limiting, and logging. That is where most agentic AI initiatives fail. The model functions. The orchestration functions. The auth model collapses under audit scrutiny.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"b8d69da3-5a14-4bff-bd74-be1ac4625d07\",\"text\":\"Anatomy of an agentic AI system\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"06d1d439-9543-41e4-a27d-91b1a5395807\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Anatomy of an agentic AI system\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"At a minimum, an agentic AI system comprises seven layers:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"LLM (reasoning engine). OpenAI, Anthropic, Gemini, Bedrock, or self-hosted models.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Tool layer. REST APIs, GraphQL endpoints, \",\"type\":\"text\"},{\"text\":\"MCP servers\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/mcp-model-context-protocol-agentic-ai\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\", database connectors.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Memory. Vector store for semantic search, key-value store for session state.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Orchestrator. LangChain, LangGraph, CrewAI, Semantic Kernel, or custom code.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Identity layer. How the agent authenticates and what it is permitted to do. Often missing.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Observability. Traces, token counts, tool invocation logs, error rates.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Guardrails. Prompt injection detection, PII redaction, output validation.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The identity, observability, and guardrails layers are typically managed in code, per agent. This creates duplication and policy drift the moment you have more than a handful of agents in production. The solution is a control plane that addresses these concerns once, for every agent.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"1a19e7f5-0405-48d4-a5cc-8f4be75021e0\",\"text\":\"Examples of agentic AI agents in production\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"3f4e590d-c050-498a-a607-30fd9d61a79a\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Examples of agentic AI agents in production\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"What does this resemble when someone actually deploys it? Four examples, each detailing the agent's role, the tools it invokes, and the governance question it raises.\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Customer support agent.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Reads the ticket, queries the CRM, checks the order status, drafts a response, issues a refund under $50. Tools: Zendesk API, Salesforce API, Stripe API. Governance question: how do you prevent it from issuing refunds to the wrong account?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Code review agent.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Monitors pull requests, runs static analysis, queries internal docs, comments on the PR. Tools: GitHub API, Sonar API, internal MCP server for company coding standards. Governance question: which repos can it read?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Sales research agent.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Given a target account, pulls news, LinkedIn data, CRM history, and drafts a one-page brief. Tools: web search, LinkedIn API, internal CRM. Governance question: how do you prevent prompt injection from a malicious web page?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"IT operations agent.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Monitors alerts, correlates with recent deploys, restarts services on a runbook. Tools: Datadog API, Kubernetes API, Slack API. Governance question: should it be able to restart a production service at 2 AM with no human?\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"These agents exist today, built on LangChain, Claude, Cursor, or custom frameworks. They all share the same gap: the agent authenticates with a shared service account and inherits broad permissions. That is the aspect most production deployments retrofit late and painfully.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"588d8f4c-871a-4f1a-ba7c-4662116b16cf\",\"text\":\"Agentic AI use cases for enterprises\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"298176f1-d7db-439d-a042-f318bb7aa896\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Agentic AI use cases for enterprises\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Where does this deliver actual value at enterprise scale? The patterns cluster by industry.\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Financial services. Claims triage agents that read claim documents, query policy data, flag fraud signals, and route to adjusters. Agents handling KYC checks across multiple internal and partner APIs.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Healthcare. Prior authorization agents that gather patient records, check formulary rules, and submit authorization requests. HIPAA exposure is real, so identity and audit are not optional.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Logistics and supply chain. Routing agents that monitor weather, traffic, and warehouse capacity, then reroute shipments. Inventory agents that reorder based on real-time \",\"type\":\"text\"},{\"text\":\"event streams\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/use-cases/event-brokers\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" from Kafka.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Technology and SaaS. Internal developer agents that scaffold services, query design docs, and open pull requests. Customer onboarding agents that pull data from multiple sources to configure tenants.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"IT and security operations. SOC agents that triage alerts, run enrichment queries, and recommend containment steps. These agents need to act fast but also stay inside scope.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The common pattern across all five clusters is identical: the agent's value stems from calling APIs and consuming event streams that already exist in the enterprise. The blocker is rarely the model. It is the lack of a control plane that can assign the agent an identity, enforce permissions, and produce an audit trail.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"7a0d4617-acb6-4382-a9f8-71b24b299313\",\"text\":\"Agentic AI use cases for enterprises\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"055d71ee-8af7-4239-bded-28d3fc1ccc5a\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"The hidden problem: agents need identity, not just intelligence\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Why do existing tools not cover this? Because traditional Identity and Access Management (IAM) was built for humans. It assumes a person logs in, gets a token, and acts inside that session. Agents differ on every axis that matters:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"They run autonomously, often without an active user session.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"They act on behalf of users, but with their own logic.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"They call dozens of tools per task, each with its own auth.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"They can be exploited through prompt injection in ways humans cannot.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The answer is \",\"type\":\"text\"},{\"text\":\"Agentic IAM.\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/agentic-iam-the-future-of-identity-in-an-ai-driven-world\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" Each agent receives:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A verifiable identity, not a shared API key.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Scope-bound, short-lived tokens using OAuth 2.1 + PKCE.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Delegation chains via RFC 8693 Token Exchange, so \\\"agent acting on behalf of user X\\\" is auditable.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Fine-grained authorization at the tool, method, and resource level using OpenFGA or AuthZen.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Session-aware revocation, so killing a user session invalidates every delegated agent token.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This is the layer most agentic AI projects skip until something breaks. By then, retrofitting it is difficult. The reason it gets skipped is that no existing piece of infrastructure was built for it. Identity providers were built for people. API keys were built for static services. Neither fits an agent that calls fifteen tools in a single task, on behalf of three different users, across two business hours.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"dee7ea2d-3a84-4f61-b1fa-d202dfaedb4f\",\"text\":\"How agentic AI connects to APIs and event streams\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"8bd40f10-03ad-4982-a2db-b39839ab1f98\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"How agentic AI connects to APIs and event streams\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Where does this fit in your existing architecture? The short answer: agentic AI does not replace API management. It depends on it.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most of the tools an agent calls are already governed by something. Your API gateway already enforces auth, rate limits, and logging. The work involves extending those policies to agent traffic instead of building a parallel control plane.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Four points to keep in mind:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Every tool an agent calls is an API call. Your gateway is already in the path. Use it.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Many enterprise systems publish state changes to Kafka. Agents that react to real-time events, like fraud detection or supply chain disruption, need governed access to event streams.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The Model Context Protocol (MCP) is becoming the standard way agents discover and call tools. Existing REST APIs can be exposed as MCP tools without rewriting backends.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent-to-agent (A2A) communication needs the same governance as service-to-service traffic: identity, authorization, observability.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This is where federated \",\"type\":\"text\"},{\"text\":\"API management \",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/platform/api-management\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\"matters. If you run AWS API Gateway, Apigee, Azure API Management, plus an event broker, you need a single control plane that can govern agent access across all of them. Otherwise, every agent integration is a one-off project, and every team builds their own auth model.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"822f51b8-6bad-4e06-9696-25201eba8980\",\"text\":\"Governing agentic AI in production\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"4b877dc9-2643-4790-8db8-1de7976c5d19\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Governing agentic AI in production\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"What does \\\"good\\\" look like operationally? Every production agentic AI deployment requires the same set of controls. Treat this as a non-negotiable list:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Identity per agent. No shared service accounts.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Scope-bound permissions. Agents get access to specific tools and resources, not broad API scopes.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Token controls. Short-lived, exchangeable, revocable.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Rate limiting and quotas. Per agent, per tool, per token spend.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Prompt and output guardrails. Block prompt injection. Redact PII before it reaches the model.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Observability. Per-agent traces showing tool calls, LLM calls, token usage, errors.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Cost controls. Token rate limiting and semantic caching for repeat queries.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Audit trail. Who (user) asked which agent to do what, when, with what result.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This list is the difference between \\\"the agent works in dev\\\" and \\\"the agent is allowed in production.\\\" If your security team cannot tick every box, the agent should not be touching real systems.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"679d04cb-65be-4506-97d0-3addb2fb57d8\",\"text\":\"A practical checklist for shipping agentic AI\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"f8407f23-2c6c-4c74-b62b-84e5ceb82987\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"A practical checklist for shipping agentic AI\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Copy this into your planning doc before the next sprint:\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Define the goal and the boundary. What can the agent do, and what is off limits?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"List the tools the agent needs. APIs, MCP servers, databases, event streams.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Decide who the agent acts on behalf of. User session? Service identity? Both?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Pick an identity model. Per-agent OAuth client plus token exchange for delegation.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Map tool-level permissions. Use fine-grained authorization, not broad role-based access.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Add guardrails for prompt injection and PII before the LLM call.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Instrument observability. Token counts, tool invocations, error rates.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Set cost ceilings. Token rate limits per agent or team.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Build the revocation path. Killing the session must kill the agent's tokens.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Run a tabletop on misuse before production. Assume the agent will be exploited.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"If you cannot answer all ten before writing code, you are not ready to ship. The agent will work in a demo. It will not survive the first audit.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"02f1ac62-4b59-4689-b272-0bbeb936cf13\",\"text\":\"Frequently Asked Questions\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"87c263b9-cc6f-4938-b62c-424ab1531651\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Frequently Asked Questions\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"0d6f58a2-e859-4fe5-a747-0e69c4efbc9e\",\"items\":[{\"_uid\":\"7184999c-5532-4315-a64a-17dc81c9a952\",\"body\":[{\"_uid\":\"4480ade1-cbf7-4f4e-b725-8bf504bfc75b\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Generative AI produces content. Agentic AI takes action. Most agentic AI systems use generative AI (LLMs) as their reasoning engine, but the defining feature is tool use and goal-directed behavior across multiple steps.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"What is the difference between agentic AI and generative AI?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"73ebb474-f666-4bb7-a291-5da239db1d02\",\"body\":[{\"_uid\":\"f9c0b5af-3b7e-4e33-9bea-dac3ba36378f\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"By itself, no. ChatGPT generates responses to prompts. When ChatGPT is given tools (browsing, code execution, custom GPT actions) and a persistent goal, it crosses into agentic behavior. The line is whether the system can independently decide what to do next and act.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"Is ChatGPT an agentic AI?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"c8d839d8-69f0-4027-a6fc-ba15e9a13233\",\"body\":[{\"_uid\":\"90303086-eaed-412a-9590-ee4a0e0b4349\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Claude with MCP, Cursor for coding, OpenAI Operator, LangChain agents, AutoGen, CrewAI. Most enterprises also build custom agents on these frameworks for internal workflows.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"What are examples of agentic AI agents I can try today?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"202c76a9-5de5-43df-8e8f-fd550df078a0\",\"body\":[{\"_uid\":\"1e1ab943-c1d0-40f7-bbeb-6029d1571ace\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The weak default is a shared API key. The right pattern is per-agent OAuth 2.1 identity with short-lived tokens, scope-bound to specific tools, plus delegation via RFC 8693 when acting on a user's behalf. Fine-grained authorization (OpenFGA, AuthZen) handles resource-level decisions.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"How do AI agents authenticate and authorize access to tools?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"645bb09d-9275-4c6c-b498-2bdc882a13dc\",\"body\":[{\"_uid\":\"ecc44eff-622f-48c0-818e-c2c5b3a6ac27\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Yes, and this is usually how it delivers value. The Model Context Protocol (MCP) lets you expose existing REST APIs as agent-callable tools without rewriting backends. Event streams (Kafka, MQTT) feed agents that need to react in real time.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"Can agentic AI integrate with existing APIs and event streams?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"60f22f23-422c-44ea-a130-71f70c1d6350\",\"body\":[{\"_uid\":\"d558adaf-858a-42e2-97f6-39e98d4ec7f7\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent identity, scope-bound permissions, token controls, prompt and output guardrails, observability per agent, cost controls, and a working revocation path. None of these are optional once the agent touches real systems.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"---\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agentic AI is software that acts. The question is not whether your team can build one. It is whether you can prove what it did, on whose behalf, and stop it when you need to. That is an identity and governance problem, not a model problem. 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That era has passed. Agents currently invoke tools, access APIs, and communicate with other agents on your behalf, and the threats accompany them everywhere they travel.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This transition is critical because the attack exposure is no longer limited to the model alone. It encompasses every tool the agent can trigger, every API it can access, and every other agent it trusts. AI threats today manifest as agent threats, tool threats, and identity threats. If you are a developer or platform engineer deploying agents to production, the question is not if your model is secure. It is whether your agent can be manipulated into performing actions it should not, using credentials it ought not possess.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This guide outlines what you must understand: the attack vectors that impact production, where the API layer transforms into the actual battlefield, what distinguishes agentic systems, and how to construct defense-in-depth across the model, tool, and identity pathways.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"45cabddc-470e-405a-bb27-48a8beb3984a\",\"text\":\"What Are AI Threats in 2026?\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"34923eef-eb5b-40c2-89d4-c66e3ad68210\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What Are AI Threats in 2026?\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"AI threats divide into three categories, and the majority of public threat lists still only address the first two.\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Traditional ML threats.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Data poisoning, model inversion, adversarial inputs. Genuine, though primarily applicable to teams training their own models from the ground up.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"LLM-era threats.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Prompt injection, jailbreaks, PII leakage in responses, runaway token spend. Relevant immediately upon placing an LLM behind a user-facing interface.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agentic threats.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Tool abuse, unauthorised delegation, multi-agent poisoning, identity sprawl. This is the current reality for production teams.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Industry dialogue has aligned with category two. Most teams deploying agents operate within category three, where the model is merely one component in a chain involving tool catalogs, MCP servers, downstream APIs, and other agents. Frame your threat model around what the agent can \",\"type\":\"text\"},{\"text\":\"do\",\"type\":\"text\",\"marks\":[{\"type\":\"italic\"}]},{\"text\":\", rather than just what the model can \",\"type\":\"text\"},{\"text\":\"say\",\"type\":\"text\",\"marks\":[{\"type\":\"italic\"}]},{\"text\":\". That serves as the through line for this guide.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"If you seek a foundation on the broader category before diving deeper, the AI Gateway and agent gateway introduction covers the runtime governance picture in context.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"bf045687-2c59-4923-9ec7-032a42a6d47b\",\"text\":\"The New AI Threat Landscape: Why Agents Change Everything\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"a25d7bc2-aaa2-4671-879e-5cbbcce02545\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"The New AI Threat Landscape: Why Agents Change Everything\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An agent consists of software that determines what to do next based on an LLM's output, then calls tools or other agents to execute it. That is the core. The implications, however, exceed the definition.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"When you deploy an agent into production, the threat surface expands in four ways:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agents inherit every vulnerability of the LLM. Prompt injection, jailbreaks, hallucinated tool calls. All of it.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agents inherit every vulnerability of every tool they can call. If your agent can access an internal CRM API, that API's security posture becomes part of your agent's security posture.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agents typically run with shared service-account credentials. One key, many agents, broad scope. No per-agent audit trail.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agents make decisions faster than humans can review. Manual incident response cannot keep pace with a misbehaving agent making 50 tool calls per second.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Independent studies indicate a meaningful share of API traffic will be AI-driven within the next two years. The implication is that securing AI agents is not a niche specialization. It is the next phase of API security, identity management, and runtime governance combined.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"\\\"Security AI agents\\\" \",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\"as a discipline is not about AI-powered security tools. It is the practice of securing the agents themselves, the same way you secure any other workload touching production systems.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"6e582c25-1537-4ada-becf-06f28fef0742\",\"text\":\"AI Security Threats: The 10 Attack Vectors Developers Need to Know\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"289d4d45-f214-401b-9e9d-7abbf8f074e0\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"AI Security Threats: The 10 Attack Vectors Developers Need to Know\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Below are the AI security threats that matter for teams shipping agents today. One sentence on mechanism, one sentence on impact.\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Direct prompt injection.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" An attacker crafts input that overrides the system prompt or instructions. The agent leaks data, executes unauthorized tool calls, or both.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Indirect prompt injection.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Malicious content is embedded in documents, web pages, or API responses the agent reads. The agent acts on attacker-controlled instructions without anyone typing them in.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Tool abuse.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" The agent is tricked into calling tools it shouldn't, or calling allowed tools with parameters it shouldn't. Lateral movement at machine speed.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Data poisoning.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Training data or RAG data sources are corrupted to bias outputs or insert backdoors. Hardest to detect because it surfaces as plausible-looking responses.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Model inversion and extraction.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Attackers probe the model to reconstruct training data or replicate the model itself. IP loss and privacy exposure.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"PII leakage.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" The model regurgitates personally identifiable information in responses. Triggers compliance incidents (GDPR, HIPAA, CCPA) and brand damage.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Token spend attacks.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Attackers force expensive prompts at high frequency to drain budget. Denial of wallet, not denial of service.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"AI-enhanced social engineering.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Deepfakes and AI-generated phishing at scale, often targeting credentials that agents share with humans.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Autonomous attack bots.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Adversarial agents that adapt to defenses faster than human responders can update them.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"API attacks against AI endpoints.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Credential theft, rate-limit bypass, replay attacks, and broken object-level authorization against LLM, MCP, and agent APIs.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Notice how many of these are not truly new categories. They are old attack patterns with new amplifiers. Which brings us to the layer where most of them actually land.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"9a0bdd48-ff06-4347-8141-2df08e0ae85f\",\"text\":\"Artificial Intelligence Security Risks at the API Layer\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"b87aa221-ce73-4fee-aaae-c9cdaa9ec3fb\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Artificial Intelligence Security Risks at the API Layer\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Each agent acts as an API client. The agent's biggest security risk is usually what it calls, not what it says.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Consider the scenario when an agent is wired up to a real backend:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The agent calls internal APIs with hard-coded keys, often shared across teams.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"There is no per-tool authorization. The agent can call \",\"type\":\"text\"},{\"text\":\"tools/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" to discover everything and \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" to invoke anything, all with the same blanket scope.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"There are no rate limits at the tool level. One misbehaving agent can overwhelm a backend before humans notice.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"There is no audit trail tying an agent action back to the user who initiated the session.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"MCP traffic flows through your existing HTTP gateway, which can route it but cannot understand \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" semantics, much less authorize them.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"These AI security risks are not theoretical. They are the default for most teams that started by wiring agents directly into production APIs to ship a demo. Demos become pilots. Pilots become production. The shortcuts come with you.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agents also amplify shadow API risk. They discover and call APIs faster than humans can govern them, especially when a single agent has access to a tool catalog that includes dozens or hundreds of endpoints across multiple gateways. Federated API management is the architectural answer here: one catalog, one policy layer, one audit trail across every gateway the agent can reach. If your governance lives on one gateway and your agents call APIs across three, you have a gap.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Artificial Intelligence Security Concerns Specific to Agentic Systems\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Three AI security concerns are unique to agents and do not have clean analogs in traditional API security.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Agent identity is missing by default\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The majority of agents authenticate with a shared service account or a hard-coded key. That means no audit trail, no per-agent revocation, no least privilege. When one agent is compromised, every agent sharing that credential is compromised.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agentic IAM provides the solution. Each agent gets its own verifiable identity, scope-bound tokens via OAuth 2.1 with PKCE, and the ability to be revoked individually. Token exchange (RFC 8693) lets an agent act on behalf of a user with a scoped, short-lived token that includes the original user's identity as an actor claim. The \",\"type\":\"text\"},{\"text\":\"Agentic IAM deep dive\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/agentic-iam-the-future-of-identity-in-an-ai-driven-world\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" walks through the identity model in detail.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Delegation chains are unauditable\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"When an agent acts on a user's behalf, the audit log needs to answer three questions: which user, which agent, and what scope. Without actor claims (the \",\"type\":\"text\"},{\"text\":\"act\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" claim from RFC 8693), you cannot answer that. You'll see the agent's identity in the log and lose the user context entirely.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Delegation should also be session-aware. When the user's session ends or is revoked, every token issued downstream by that user's session should be invalidated automatically. Otherwise stale agent tokens persist long after the human has logged out.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Multi-agent trust is assumed, not verified\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"In agent-to-agent (A2A) communication, one compromised agent can poison the decisions of every agent downstream. A standard API gateway treats A2A as generic HTTP traffic. It can route it, but it cannot authorize at the skill level, the task level, or based on actor claims in the calling agent's token.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A2A needs the same identity and authorization rigor as user-to-API traffic, plus an additional layer that understands agent topology: which agent called which agent for which task, on whose behalf.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"73ab8210-a7a7-4c8a-9d0a-0ec1aa94af65\",\"text\":\"How to Secure AI Agents Before They Ship\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"c81f0995-520c-4d02-a361-39cc6b8cc38f\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"How to Secure AI Agents Before They Ship\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"As you construct the security AI agents checklist for your team, work through these in order. Each item reduces the attack surface measurably.\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Give every agent its own identity. No shared service accounts. Use OAuth 2.1 with PKCE for MCP-based agents.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Scope tokens to the task. Use RFC 8693 token exchange so the agent receives only what the user has, only for this session, with the user's identity preserved in the \",\"type\":\"text\"},{\"text\":\"act\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" claim.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Enforce method-level ACLs on MCP. Restrict \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"resources/read\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"tools/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", and \",\"type\":\"text\"},{\"text\":\"prompts/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" per agent. Default-deny on everything else.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Add prompt guardrails at the gateway. Block injection, toxicity, and jailbreak attempts before they reach the model. Centralize this so every agent benefits, not just the well-behaved ones.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Filter PII in both directions. Use on-device classification on prompts and responses. Redact, block, or flag based on policy.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Rate-limit tokens, not just requests. Per agent, per team, per application. Token-based limits stop denial-of-wallet attacks that request-based limits miss.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Cache by semantic meaning. \",\"type\":\"text\"},{\"text\":\"Semantic caching\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/semantic-caching-for-llms-how-to-reduce-ai-costs-and-latency-at-the-gateway\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" cuts cost and shrinks the attack window for repeat malicious prompts, since cached responses bypass the model entirely.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Log everything across LLM, MCP, and A2A. Unified observability matters because the answer to \\\"what did the agent do?\\\" should come from one query, not three. The \",\"type\":\"text\"},{\"text\":\"AI observability post\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/ai-observability-for-enterprise-teams-monitor-mcp-tools-llm-costs-and-agent-traffic-in-one-place\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" covers what this looks like in practice.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Observe what is absent from this list: building any of it into the agent code itself. Every item lives at the infrastructure layer. That is intentional. Security logic in agent code drifts the moment a new framework or team adopts a different pattern. Infrastructure-layer enforcement scales.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"3f255a7d-938c-4435-abd2-24de0c911181\",\"text\":\"A Defense-in-Depth Architecture for AI Threats\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"f3df7946-51d7-41b8-8a97-006166f2cef1\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"A Defense-in-Depth Architecture for AI Threats\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The correct mental framework for AI threats is three governance paths, one control plane.\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Model path (LLM Proxy).\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Guardrails, PII filtering, semantic caching, token rate limiting, model routing and failover. This is where you stop prompt injection and runaway spend.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Tool path (MCP Proxy).\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Method-level ACLs, OAuth 2.1 authorization, resource-level fine-grained authorization via OpenFGA, tool invocation throttling. This is where you stop tool abuse and unauthorized access.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent path (A2A Proxy).\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Agent authentication, delegation with actor claims (RFC 8693), topology observability, per-skill authorization. This is where you stop multi-agent poisoning and unauthorized delegation.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The architectural logic is straightforward: these three paths cannot be governed by three different products without policy drift. If your LLM guardrails live in one vendor, your MCP authorization in another, and your A2A traffic in your existing API gateway, you'll have three policy engines, three audit trails, and zero ability to answer cross-cutting questions like \\\"what did this user's session cause across every downstream system?\\\"\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"One control plane. One policy engine. One audit trail. That's the principle behind how \",\"type\":\"text\"},{\"text\":\"Gravitee 4.11 governs the AI stack\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/gravitee-4.11-protect-optimise-and-govern-your-ai-stack\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\" across all three paths.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"AI threats are protocol-aware. Your defense have to be too. An HTTP-only gateway can route MCP, but it cannot govern it. An LLM-only proxy can filter prompts, but it can't tell you whether the agent was authorised to call the tool it called next.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"a9c602fe-d958-4221-8e1d-9f487728ecfd\",\"text\":\"Frequently Asked Questions\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"49e295a3-8388-404b-b4c1-be15801bdb67\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Frequently Asked Questions\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"1cf42fcc-be9c-4c7c-a411-451976295fe8\",\"items\":[{\"_uid\":\"da377494-c1a1-441b-a0d8-d3c4bfc6286a\",\"body\":[{\"_uid\":\"fbda3d76-1d6a-4fea-8186-b497c4ca0364\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Traditional AI threats concentrate on the model itself: data poisoning, adversarial inputs, model extraction. Agent threats concentrate on what the model decides to \",\"type\":\"text\"},{\"text\":\"do\",\"type\":\"text\",\"marks\":[{\"type\":\"italic\"}]},{\"text\":\": which tools it calls, which APIs it hits, which other agents it trusts. The blast radius is larger because actions have side effects that a classification or generation output doesn't.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"How do AI agents differ from traditional AI in terms of security risk?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"90fff430-f615-48ac-a9a4-cdc14cafe121\",\"body\":[{\"_uid\":\"7c91dd8a-25ed-4aea-bdf7-3e917a2512b7\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Prompt injection occurs when attacker-controlled text overrides an agent's instructions. In a chatbot, the worst case is usually an embarrassing response. In an agent with tool access, the worst case is unauthorized API calls, data exfiltration, or destructive actions performed under the agent's credentials. The danger scales with the agent's permissions.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"What is prompt injection and why is it dangerous for AI agents?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"00ef4b51-f969-425e-a6d3-2b54827e0a99\",\"body\":[{\"_uid\":\"16134c9d-dfd6-4126-929e-c2d5dcfa8925\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Treat every agent as a first-class identity. Authenticate A2A calls with OAuth 2.1. Use actor claims (RFC 8693) to track delegation chains so you can answer \\\"on whose behalf\\\" for every call. Enforce per-skill authorization, not just per-endpoint. And put A2A traffic through a gateway that understands the protocol, not one that treats it as generic HTTP.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"How should organizations secure AI-to-AI (A2A) communication?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"12c02ad5-f059-4eed-ad58-4937da143b08\",\"body\":[{\"_uid\":\"f9fb5f33-679d-4833-9b3c-6cb49fe1c2e2\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"It's the foundation. Without per-agent identity, you cannot audit, revoke, or scope access. Human IAM doesn't translate directly because agents don't have sessions in the human sense, don't authenticate interactively, and need short-lived, scope-bound tokens rather than long-lived credentials. Agentic IAM is purpose-built for this.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"What role does identity and access management play in AI security?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"97951422-2b46-480a-bafd-3c7497c2323e\",\"body\":[{\"_uid\":\"f4774044-afdf-43f9-a304-5a3ceac8c117\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Partially. A traditional API gateway sees HTTP requests and responses. It does not see MCP method semantics, A2A skill calls, or agent-specific authorization decisions. You need protocol-aware governance on top of (or integrated with) your existing API management. Federated approaches let you add agent governance without ripping out the gateways you already run.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"Can existing API security tools protect AI agents?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"a03ae67a-695e-4f6a-89bf-d054a17e9a00\",\"body\":[{\"_uid\":\"16f579b9-090f-4ffb-b32d-9026c12d8114\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"MCP (Model Context Protocol) lets agents discover and call tools through a standard interface. The risk is that, without governance, any agent can call any tool with any parameters once it has a credential. Method-level ACLs on \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"tools/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"resources/read\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", and \",\"type\":\"text\"},{\"text\":\"prompts/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", combined with OAuth 2.1 authorization, close that gap.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"---\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"AI threats aren't waiting for the threat model. Agents are in production right now. 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A developer's guide to securing AI agents at the model, tool, and identity layer with defense-in-depth.\",\"relatedContentHeadline\":\"\"},\"slug\":\"ai-threats\",\"full_slug\":\"gravitee/blog/ai-threats\",\"sort_by_date\":null,\"position\":-140,\"tag_list\":[],\"is_startpage\":false,\"parent_id\":161197041392033,\"meta_data\":null,\"group_id\":\"113672fe-2182-4329-9776-fe33673d4ef4\",\"first_published_at\":\"2026-08-24T06:01:08.732Z\",\"release_id\":null,\"lang\":\"default\",\"path\":null,\"alternates\":[],\"default_full_slug\":null,\"translated_slugs\":null},{\"name\":\"AI Security Risks: A Developer's Guide to Mitigation\",\"created_at\":\"2026-07-29T15:12:39.954Z\",\"published_at\":\"2026-08-24T06:14:48.468Z\",\"updated_at\":\"2026-08-24T06:14:48.491Z\",\"id\":203359682417063,\"uuid\":\"6ed4b077-9592-45e7-b1b7-db37b291f97d\",\"content\":{\"_uid\":\"f675531e-dbb5-4ef0-a547-55ff2ecd399e\",\"body\":[{\"_uid\":\"aa87c76a-db32-4f17-9cac-73cb77e7faa5\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Many squads deploy AI quicker than they lock it down. Models hit production. Agents begin invoking tools. Meanwhile, security personnel discover issues only later. This disconnect between fast deployment and runtime oversight is exactly where AI security vulnerabilities hide, expanding each quarter.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This manual targets developers, DevOps specialists, and platform engineers currently managing LLM integrations or testing agentic setups. It categorizes AI security threats across three tiers: the model, the LLM interface, and the agent. Once finished, you will understand which dangers are genuine, which are old cybersecurity tropes, and what to manage at runtime to ensure your setup remains auditable.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Key Takeaways\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"AI security threats cover three tiers: the model (poisoning, adversarial inputs), the LLM interface (prompt injection, data leaks), and the agent (tool misuse, overly permissive identities).\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The majority of AI security flaws teams deploy with are runtime issues, not training issues. They emerge when agents invoke tools, models, and APIs live in production.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Shadow AI and third party LLM adoption are primary worries for 44% of security leaders, per industry studies.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"AI agents aren't users. They require distinct identity, scoped tokens, and per-tool permissioning, rather than shared service accounts.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A control plane managing APIs, events, and AI agents centrally fills the holes that standard WAFs, DLPs, and IAM tools overlook.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"791b25fa-0dab-442a-a144-07d1500e1614\",\"text\":\"What Are AI Security Risks?\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"4cb152fe-d87f-4acc-970f-6b7415e2293d\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What Are AI Security Risks?\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"AI security risks represent fresh attack surfaces, failure modes, and access control voids created when machine learning models, large language models, and autonomous agents launch within production systems. This differs from using AI for security, which implies defensive tools like ML-driven threat detection. Here we discuss the risks AI generates itself when interacting with your data, APIs, and clients.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"For a developer or platform engineer, it's useful to categorise these risks into three layers:\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Model-layer risks.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Data poisoning, adversarial examples, model theft, and bias. These affect teams training or fine-tuning their own models.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"LLM-layer risks\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". Prompt injection, PII leakage, jailbreaks, token abuse, and credential theft from AI platforms. These affect every team calling an LLM API, including OpenAI, Anthropic, Bedrock, or Gemini.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent-layer risks\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". Tool over-permissioning, shared service accounts, no audit trail, runaway tool calls, and broken delegation chains. These are the newest risks and the ones most teams underestimate.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Cloud Security Alliance industry research indicates 73% of security leaders state AI-powered threats already impact their organizations. That figure shows how rapidly these layers accumulate once agents hit production.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"75fd37c4-281f-4601-a978-e87a77f3e351\",\"text\":\"Why AI Security Issues Are Different From Traditional AppSec\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"6c1c1a49-e2b7-4b5f-84e1-72accead9b35\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Why AI Security Issues Are Different From Traditional AppSec\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most AI security issues don't act like traditional application security problems. Four factors differentiate them:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Outputs are non-deterministic. The same input produces different responses. Static signatures, regex-based WAF rules, and replay-based testing don't apply.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The input is the attack. Prompts are code, data, and instructions at once. An attacker who controls a document the model retrieves can control the model's next action.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Identity is fuzzy. An agent acts on behalf of a user, but the boundary blurs. Who is accountable when the agent calls a tool, and what scope should it have?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Blast radius scales with tools, not endpoints. One agent connected to twelve tools is twelve potential attack surfaces. Add MCP discovery and the surface grows dynamically.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most WAFs, DLPs, and legacy IAM systems were created before any of this existed. The World Economic Forum's Global Cybersecurity Outlook 2026 discovered 87% of respondents prioritize AI-related security concerns. The reason current controls keep failing is simple: they were built for HTTP traffic, static roles, and human users. None of those assumptions apply to agents.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This explains why attaching AI to existing controls fails. You require runtime controls that comprehend prompts, tokens, MCP methods, and agent identity, not merely HTTP headers.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"79434f5e-2ef1-4c07-96b5-2d4fc50c2a2d\",\"text\":\"The Core AI Security Risks Enterprises Face Today\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"0ab1159d-61ae-4ed3-abaf-f283fd4302d9\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"The Core AI Security Risks Enterprises Face Today\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Below are the AI security risks most enterprises encounter currently, ordered by frequency in real incidents.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Prompt injection and jailbreaks\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Direct prompt injection occurs when a user types instructions designed to override the system prompt. Indirect prompt injection is the version most teams underestimate: a model retrieves a document, web page, or tool output that contains hidden instructions, and acts on them. Darktrace predicts 2026 will see a rise in indirect prompt injection breaches as more agents pull from untrusted sources.\",\"type\":\"text\"}]},{\"type\":\"horizontal_rule\"},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Data poisoning\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Tampering with training data to bias outputs or plant backdoors. More relevant if your team fine-tunes models. Less common as a runtime risk, but high impact when it occurs.\",\"type\":\"text\"}]},{\"type\":\"horizontal_rule\"},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Sensitive data exposure and PII leakage\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Models echoing training data. Employees pasting customer records into ChatGPT. RAG pipelines surfacing documents the requester shouldn't see. The CSA found that 61% of security leaders rank sensitive data exposure as their top AI concern.\",\"type\":\"text\"}]},{\"type\":\"horizontal_rule\"},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Shadow AI\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Unsanctioned use of third party LLMs and copilots by employees and contractors. 44% of security leaders flag third party LLMs as a significant concern. If you don't route outbound LLM traffic through a controlled layer, you don't know what's leaving your environment.\",\"type\":\"text\"}]},{\"type\":\"horizontal_rule\"},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Supply chain risk\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Third party models, embeddings, datasets, and MCP servers all sit in your supply chain now. Hosted AI vendors are vendors. They need the same scrutiny you give any SaaS dependency.\",\"type\":\"text\"}]},{\"type\":\"horizontal_rule\"},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Credential theft from AI platforms\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"IBM X-Force has reported finding 300,000+ ChatGPT credentials for sale on dark web marketplaces. Stored chatbot credentials, agent API keys, and LLM provider tokens are now targets.\",\"type\":\"text\"}]},{\"type\":\"horizontal_rule\"},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"AI-augmented attacks against you\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Deepfake-driven business email compromise, AI-personalized phishing, automated reconnaissance. This is the attacker's side of the coin, not a defect in your AI. Worth tracking, but most of your direct mitigation work is on the layers above.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most AI security guides end here. The following sections address what they overlook.\",\"type\":\"text\"}]},{\"type\":\"horizontal_rule\"}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"1f9612b5-93b8-417b-8cdb-55e87f406591\",\"text\":\"AI and Security Concerns Unique to LLMs\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"a5cb3901-c56d-4041-a29e-4560c2b33fed\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"AI and Security Concerns Unique to LLMs\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"When your applications begin calling OpenAI, Anthropic, Bedrock, Gemini, or a self-hosted model, you introduce a fresh class of AI and security concerns at the LLM interface itself.\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"API key sprawl. Every team holds keys to multiple providers. Keys live in environment variables, secrets managers, and sometimes source code. Rotation is rare.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Token cost as a security issue. Unbounded usage is both a budget problem and a denial-of-wallet attack vector. An attacker who can trigger expensive prompts can drain your model budget in hours.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"PII flowing into prompts and responses with no inspection. Customer records, internal documents, and credentials all end up in prompts. Most teams have no inspection layer between the application and the provider.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"No model-level rate limiting. Request-based rate limiting doesn't map to token cost. You need token-based limits per team, app, and agent.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"No central audit log. Who called which model with what prompt? In most environments, the answer is scattered across application logs or missing entirely.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The runtime control point for these concerns is an AI gateway: a managed layer between your applications and LLM providers. It centralizes credential management, enforces PII filtering and prompt guardrails before requests exit your environment, applies token-based rate limits, and generates a single audit log for every model call.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Gravitee's LLM Proxy is one example of this pattern. It provides semantic caching, AI-driven PII filtering, prompt guardrails, token rate limiting, and model routing across providers, without altering application code. Semantic caching lowers both cost and exposure surface by serving cached responses for prompts with similar meaning instead of identical text. Unified analytics provide a single audit log for every model call.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"e7c68571-c235-49fa-8d46-8a1114677738\",\"text\":\"The Emerging Frontier: Agentic AI Security Challenges\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"f98b9225-de14-4082-92c9-878269e1f5da\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"The Emerging Frontier: Agentic AI Security Challenges\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agentic AI is the portion most existing security guidance overlooks. An AI agent is a system that performs actions, invokes tools, and chains steps with minimal human input. Darktrace forecasts 2026 might see the first large-scale incidents driven by agentic AI acting in unintended ways. EC-Council projects 33% of enterprise apps will feature agentic AI by year-end.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"These are the AI security challenges developers and platform teams must grasp before agents launch.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Agents are not users\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most teams authenticate agents through shared service accounts with broad scopes. There is no per-agent audit trail. When something goes wrong, you can't tell which agent did it.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Tool over-permissioning\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agents typically get the union of every permission they might need across every workflow. That isn't least-privilege. That's a privileged service account with extra steps.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"MCP (Model Context Protocol) exposure\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"MCP lets agents discover and invoke tools dynamically. Static API access control lists don't understand MCP method semantics like \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"resources/read\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", or \",\"type\":\"text\"},{\"text\":\"prompts/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\". A standard HTTP gateway will route MCP traffic, but it can't authorize at the method level.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Agent-to-agent (A2A) trust chains\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"When agent A calls agent B on behalf of user U, who is accountable in the audit log? Without delegation tokens that carry actor claims, the chain breaks.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Indirect prompt injection via tool outputs\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A poisoned document retrieved by an agent can instruct it to exfiltrate data on the next turn. The agent isn't malicious; the input is. Your authorization layer has to assume tool outputs are untrusted.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Session-aware revocation gaps\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"When the user logs out, the agent's delegated access often persists. Long-lived agent tokens become stale credentials no one is tracking.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"If you cannot answer \\\"which agent did what, on whose behalf, and were they permitted to,\\\" you lack agent security. You have an audit gap expanding with every new agent.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"f2846c40-b31a-4624-9fdc-feab5f0c449b\",\"text\":\"How to Mitigate AI Security Risks: A Runtime-First Approach\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"c9d7dff2-e4de-4d9e-a35b-a3e2afeb7aa6\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"How to Mitigate AI Security Risks: A Runtime-First Approach\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Training-time controls matter. Yet most teams lose the most ground at runtime. Here is a checklist developers and DevOps can actually utilize:\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Put a gateway between your applications and every LLM provider. No direct API keys in application code.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Enforce PII filtering and prompt guardrails at that gateway, not inside each app. Centralize the logic.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Apply token-based rate limiting per team, app, and agent. Request-based limits don't capture cost.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Cache semantically similar prompts to cut cost and reduce exposure surface.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Give every AI agent its own identity. Stop sharing service accounts.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Scope agent access per tool, per method, per resource, using OAuth 2.1 and fine-grained authorization.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Use RFC 8693 Token Exchange for delegated, auditable on-behalf-of chains with actor claims.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Log every model call, tool invocation, and agent action in one place. One control plane, one audit trail.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Revoke agent tokens automatically when the user session ends. Don't leave stale delegated tokens behind.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Inventory every agent, model, and MCP server. Treat it like an API catalog. What isn't catalogued isn't governed.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most of this is enforceable at the gateway, not within application code. That is the point. Security logic in agent code drifts and goes unreviewed. Security logic at a control plane is testable, auditable, and consistent.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"87d06796-5a03-462a-a6ad-57d6b7c24d5e\",\"text\":\"Securing AI Agents With Identity, Authorisation, and Observability\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"6f6d626d-bd9b-4ac1-b9d0-2c2f1246c95c\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Securing AI Agents With Identity, Authorisation, and Observability\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The checklist above maps directly to three runtime capabilities: agent identity, protocol-aware authorization, and unified observability. Here is how Gravitee's AI Agent Management and Agentic IAM implement them.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Agent identity\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Every agent gets a verifiable identity through Agentic IAM, not a shared API key. The model is OAuth 2.1 with PKCE for the auth flow and RFC 8693 Token Exchange for delegation. When an agent acts on behalf of a user, it exchanges the user token for a scoped agent token that carries an \",\"type\":\"text\"},{\"text\":\"act\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" (actor) claim. The delegation chain is auditable end to end. Session-aware revocation means logging the user out invalidates the entire chain.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Protocol-aware authorization\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"MCP Proxy enforces access control lists at the MCP method level: \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"resources/read\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"prompts/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\". Fine-grained authorization, built on OpenFGA (ReBAC) and AuthZen, decides per-request whether this agent can touch this resource right now, based on relationships rather than static roles. A2A Proxy applies the same model to agent-to-agent calls. The point is that authorization understands the protocol, not just the HTTP request.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Unified observability\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"LLM Analytics and MCP Analytics dashboards show token spend, model distribution, most-used tools, and method patterns in one place, alongside API and event traffic. One pane. One audit log. That's what closes the \\\"who did what\\\" gap.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The same control plane also governs Federated API Management across AWS API Gateway, Apigee, Azure APIM, IBM API Connect, Confluent, and Solace. Agents inherit the same governance as the APIs they invoke. No rip-and-replace.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"If you wish to see what this looks like in your environment, \",\"type\":\"text\"},{\"text\":\"book a Gravitee demo\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/demo\",\"uuid\":null,\"anchor\":null,\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\".\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"e80cd49a-f0b1-41f9-b8f3-f42ab773a55f\",\"text\":\"Questions Platform and Security Teams Should Ask\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"a1a21d6c-0d5f-436d-b2e6-fed7bdccce26\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Questions Platform and Security Teams Should Ask\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Use this as a quick self-audit. If you cannot answer any of these, that is where to begin:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Which LLM providers are our applications calling, and through what?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Do we know how many AI agents are in production, and who owns each?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Can we revoke a single agent's access without redeploying anything?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"What happens to delegated agent tokens when a user logs out?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Which agents can call which tools, and is that scoped per task?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Do we log prompt content, response content, and tool invocations in one auditable place?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Have we tested for indirect prompt injection through retrieved documents and tool outputs?\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Is our outbound LLM traffic routed through a controlled layer, or are teams calling providers directly?\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The answers you cannot provide today are your roadmap.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"ccf4fa9d-0087-4d2f-911f-dfefd638c639\",\"text\":\"What's Next for AI Security\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"217f208a-0a70-4641-9f95-4c3157af7c88\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What's Next for AI Security\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Four trends are reshaping how teams must think about AI security over the coming year:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agentic AI is moving from pilots to production faster than governance frameworks ship.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"MCP and A2A are becoming the de facto protocols for agent tooling and inter-agent communication.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Regulatory pressure (EU AI Act, sector regulators) is catching up with runtime audit requirements.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Identity-first security is replacing perimeter-first thinking for AI workloads.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Teams that come out ahead will be those treating AI agents as first-class identities at the infrastructure layer, not as features inside applications.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"8adc5132-65b1-4f7c-92dc-ebf1b9639eab\",\"text\":\"Frequently Asked 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Don't share service accounts across agents.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"How do I secure AI agents that act on behalf of users?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"45f898c7-fab2-4481-b8a8-39842f0f5421\",\"body\":[{\"_uid\":\"3596ea42-50c3-40fb-9320-077efcebe888\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"LLM security focuses on the model interface: prompts, responses, tokens, and PII. Agent security adds identity, tool authorization, and action auditability on top. An agent that calls an LLM needs both layers.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"What's the difference between securing LLMs and securing AI agents?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"bae455e0-19c8-4704-80e5-78a6698b33d7\",\"body\":[{\"_uid\":\"4de53822-1ed6-48fb-9941-f3937307caa2\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Apply method-level ACLs at an MCP-aware gateway and fine-grained authorization at the resource level. Static role-based access falls short because agent permissions are task-dependent, not role-dependent.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"How do I control which tools an AI agent can access?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"6b48e8e2-b2c7-4cbf-80ca-a59b08b3a810\",\"body\":[{\"_uid\":\"d048aab0-62fa-4e28-96d4-c9dfe3842561\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Yes, if you route every tool call, model call, and agent-to-agent call through a single control plane with unified analytics. If those calls happen directly from agent code to provider APIs, you have application logs at best, not an audit trail.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"Can I audit what my AI agents are doing in production?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"2ce07c4b-d4de-43e6-9c6d-cd662efdb7bd\",\"body\":[{\"_uid\":\"504ed0ee-e8d8-4f18-971e-588db5d9a4de\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Centralize outbound LLM traffic through a gateway and inventory all agents in a catalog. What isn't routed through governance shows up as the gap. Network monitoring alone won't catch SaaS LLM calls embedded in third party tools.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"How do I detect shadow AI usage?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"},{\"_uid\":\"4c1ed0ea-dae9-4a83-9367-b755389d50c1\",\"body\":[{\"_uid\":\"a4f075c4-ce69-4964-a472-6b7242d15f4c\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A standard gateway covers HTTP. It does not understand MCP method semantics, A2A communication, or agent delegation chains. You need an AI-aware control plane on top of, or integrated with, your existing API governance.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"---\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"If AI agents are already running in your environment and you cannot answer who they are, what they can access, and what they did last night, that gap will only grow. See how Gravitee secures AI agents, APIs, and event streams from one control plane. \",\"type\":\"text\"},{\"text\":\"Book a demo\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/demo\",\"uuid\":null,\"anchor\":null,\"custom\":{},\"target\":\"_blank\",\"linktype\":\"url\"}}]},{\"text\":\".\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"open\":false,\"title\":\"Is an API gateway enough to secure AI agents?\",\"anchorId\":\"\",\"component\":\"AccordionItem\",\"titleElement\":\"\"}],\"anchorId\":\"Frequently Asked Questions\",\"component\":\"ContentAccordion\",\"paddingTop\":\"\",\"displayName\":\"\",\"includeSchema\":true,\"paddingBottom\":\"\",\"allowMultipleOpen\":false}],\"media\":[{\"_uid\":\"8cebbdc5-d9ea-42aa-bea3-41e86b96e11a\",\"media\":{\"id\":\"KEFzc2V0X2lkIEMxMEQ4MUExLTU1RkUtNDVGOC1BQUE4MDMyQURDRjIxNTczKQ==\",\"name\":\"blog_cover_images\",\"files\":{\"mini\":{\"url\":\"https://asset.gravitee.io/asset/c10d81a1-55fe-45f8-aaa8-032adcf21573/thumbnail/mini-blog_cover_images\",\"width\":80,\"height\":80,\"fileSize\":null},\"webImage\":{\"url\":\"https://asset.gravitee.io/asset/c10d81a1-55fe-45f8-aaa8-032adcf21573/thumbnail/webimage-blog_cover_images\",\"width\":800,\"height\":418,\"fileSize\":null},\"thumbnail\":{\"url\":\"https://asset.gravitee.io/asset/c10d81a1-55fe-45f8-aaa8-032adcf21573/thumbnail/thul-blog_cover_images\",\"width\":250,\"height\":131,\"fileSize\":null},\"transformBaseUrl\":{\"url\":\"https://asset.gravitee.io/transform/c10d81a1-55fe-45f8-aaa8-032adcf21573/blog_cover_images\",\"width\":null,\"height\":null,\"fileSize\":null}},\"databaseId\":\"C10D81A1-55FE-45F8-AAA8032ADCF21573\",\"description\":\"High resolution cover images for blog articles\",\"selectedFile\":{\"url\":\"https://asset.gravitee.io/transform/c10d81a1-55fe-45f8-aaa8-032adcf21573/blog_cover_images\",\"width\":null,\"height\":null,\"fileSize\":null},\"filename\":\"https://asset.gravitee.io/transform/c10d81a1-55fe-45f8-aaa8-032adcf21573/blog_cover_images\",\"cdn\":\"bynder\"},\"component\":\"MediaImage\",\"objectFit\":\"\",\"aspectRatio\":\"\",\"borderStyle\":\"\",\"borderWidth\":\"\",\"displayName\":\"\",\"borderColour\":\"\",\"borderRadius\":\"\",\"displayWidth\":\"\",\"displayHeight\":\"\",\"objectPosition\":\"\",\"displayWidthDesktop\":\"\",\"displayHeightDesktop\":\"\"}],\"title\":\"AI Security Risks: A Developer's Guide to Mitigation\",\"author\":\"\",\"footer\":[],\"header\":[],\"ogType\":\"article\",\"ogImage\":{\"id\":null,\"alt\":null,\"name\":\"\",\"focus\":null,\"title\":null,\"source\":null,\"filename\":\"\",\"copyright\":null,\"fieldtype\":\"asset\",\"meta_data\":{}},\"ogTitle\":\"AI Security Risks: A Developer's Guide to Mitigation\",\"taxType\":\"\",\"htmlLang\":\"\",\"cardMedia\":[],\"cardTitle\":\"AI Security Risks: A Developer's Guide to Mitigation\",\"component\":\"Article\",\"metaTitle\":\"AI Security Risks: A Developer's Mitigation Guide\",\"metaRobots\":\"\",\"description\":\"AI security risks span models, LLMs, and agents. 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Come 2026, those very teams face an issue they lacked a year prior. They lack visibility into which agents operate in production, which tools those agents can invoke, who manages them, or how to withdraw their access during an active workflow. This phenomenon is known as agent sprawl, and an agentic mesh serves as the architectural solution.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The terminology appears in various forms within vendor presentations and analyst documentation. You will encounter \",\"type\":\"text\"},{\"text\":\"agent mesh, agentmesh, and agentic mesh \",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\"utilized to define the same concept: a controlled runtime layer for AI agents. Industry analysts position it as an internet for agents. Practitioners define it more specifically. It is the environment where agent traffic undergoes authentication, authorization, observation, and rate limiting before interacting with a model, a tool, or another agent.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This piece addresses the question every platform team is currently posing: how do you place an agentic mesh before agents already running in production, given you already operate multiple API gateways, event brokers, and identity providers?\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"91c455bb-b47d-4f79-a873-ed203ba533c4\",\"text\":\"What Is an Agentic Mesh?\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"76164fff-d908-4146-8532-adcaaf78bf3e\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"What Is an Agentic Mesh?\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"An agentic mesh functions as the runtime and control layer that manages how AI agents locate one another, invoke tools, call models, and exchange data. It mandates identity, authorization, observability, and policy enforcement across three traffic patterns:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent-to-LLM: requests from agents to OpenAI, Anthropic, Bedrock, Gemini, Vertex AI, or self-hosted models.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent-to-tool: typically via MCP (Model Context Protocol), where agents trigger discrete functions like reading a CRM record, querying a Kafka topic, or writing to an order management system.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent-to-agent: typically via A2A (Agent-to-Agent protocol), where one agent assigns a task to another.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Many agent mesh definitions circulating in the industry are vague. McKinsey and QuantumBlack label it an Internet for Agents. That perspective functions at a strategy level. The practical definition for a platform team is more specific. An agent mesh is where agent traffic undergoes authentication, authorization, observation, and rate limiting before interacting with a model, a tool, or another agent. Spellings vary in the wild. Agentmesh, agent mesh, and agentic mesh all refer to the same architectural pattern.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Should you have deployed an API gateway before a sprawling microservice estate, the mental model is recognizable. The agent mesh is to agents what the API gateway is to APIs and what the event gateway is to streams. What changes are the protocols, the identity model, and the traffic patterns.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"d003006b-f20c-4cab-9a7d-03470e4e9653\",\"text\":\"Why Agent Sprawl Breaks Enterprise AI\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"e5b79ff7-78e6-4d46-8f97-d99020c85596\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Why Agent Sprawl Breaks Enterprise AI\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"So what occurs when every team deploys its own agent?\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"You encounter agent sprawl. The failure modes are predictable, and most begin small before they compound:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Shared credentials. Agents authenticate as a service account. Every agent inherits the blast radius of the most privileged account on that service.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"No audit trail. When an agent calls a CRM, a billing system, and a Kafka topic in a single workflow, you cannot trace what occurred or who authorized it. Compliance lacks a chain of custody.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Runaway token spend. Direct calls to OpenAI, Anthropic, and Gemini without a central rate limit, no semantic cache, and no team attribution. The first month is a science project. The third month is a finance escalation.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Tool sprawl. Every team wires its own MCP servers. The same backend API ends up with three custom integrations, each maintained by a different developer who has since moved teams.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"No identity per agent. Standard IAM was built for humans. Agents require their own first-class identity, with delegation chains and session-aware revocation that human IAM does not express.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Independent research suggests a meaningful share of API traffic will be AI-driven by 2026. That aligns with what platform teams already observe: agent traffic is API traffic, only it is generated by software acting on its own.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"If this scenario should ring a bell, it should. It is the same pattern that produced API sprawl a decade ago. The agents just act on their own.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"e25bcf32-6559-45fa-9f47-ae86e9c02da4\",\"text\":\"Agent Mesh vs. Service Mesh vs. API Gateway\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"8cdb943c-7fc4-402f-b210-2864ca1b4042\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Agent Mesh vs. Service Mesh vs. API Gateway\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This is the disambiguation section most agent mesh content skips. The terminology overlap drives confusion, and confusion drives bad architecture decisions.\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Service mesh (Istio, Linkerd):\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Governs microservice-to-microservice traffic via HTTP, gRPC, TCP using Workload identity (SPIFFE).\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"API gateway: \",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\"Governs North-south API traffic via REST, GraphQL, SOAP using API keys, OAuth client credentials.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Event gateway:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Governs Streaming and async traffic via Kafka, MQTT, WebSocket using mTLS, SASL, JWT.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agentic mesh:\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" Governs Agent-to-LLM, agent-to-tool, agent-to-agent traffic via LLM APIs, MCP, A2A using Agent identity, delegation chains.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The key point: an agent mesh is not a replacement for any of these. It sits alongside them and extends governance to traffic the others cannot see.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A service mesh moves bytes between pods. It does not know that \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" on an MCP server is a write operation that should require a different authorization scope than \",\"type\":\"text\"},{\"text\":\"tools/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\". An API gateway authenticates a JWT and applies a rate limit. It does not understand that an agent acting on behalf of a user should carry an \",\"type\":\"text\"},{\"text\":\"act\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" claim and lose its delegation when the user session ends. An event gateway can authorize a Kafka consumer group, but it cannot tell you whether the consumer is a human-built service or an agent that decided to subscribe to a topic on its own.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This is where Federated API Management becomes the entry point most enterprises actually need. You likely already run two or three gateways in production: AWS API Gateway for partner traffic, Apigee or MuleSoft for internal services, maybe a self-hosted gateway for legacy SOAP. Adding an agent mesh works best when it federates with what is already there, not when it replaces it. A federated control plane gives you one place to discover and govern APIs, events, and agents across the whole estate.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"6830d451-2c62-4ea5-b8e9-f0f5670d2c5c\",\"text\":\"Core Capabilities of an Agentic Mesh\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"e3092337-36c8-4a2a-aa4a-47bcb73e7988\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Core Capabilities of an Agentic Mesh\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A functional agent mesh has six capabilities. Treat anything less as a partial implementation.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Agent discovery and catalog\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A registry of every agent in your environment: what it can do, what tools it can call, who owns it, what runtime it executes in. Agent Cards are the emerging standard metadata format. Without a catalog, you cannot answer the question every CISO asks first: which agents are running right now?\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"AI asset registry\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"System prompts, tool definitions, model configurations, golden records. Version-controlled and policy-bound, not buried in a developer's notebook. You version OpenAPI specs and AsyncAPI documents; you should version the artifacts that define agent behavior the same way.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Observability\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Chain-of-thought traces for debugging. Token usage per team for cost allocation. MCP method distribution for capacity planning. A2A topology for dependency mapping. Most generic observability stacks miss this because they see HTTP traffic without understanding what an MCP \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" actually does.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Authentication and authorization\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"OAuth 2.1 with PKCE for MCP. Agent identity issued by the IAM layer. Fine-grained authorization at the tool, method, and resource level. If you cannot say which tool an agent is allowed to call right now, you do not have authorization. You have logging.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Evaluations\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Continuous testing that agents still behave correctly as models, prompts, and tools change. A model swap from \",\"type\":\"text\"},{\"text\":\"gpt-4o\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" to a newer release should not silently break a workflow that depends on a specific output format.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Compliance and audit\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Every agent action tied to a user identity through delegation. Traceable on-behalf-of chains using actor claims. When the auditor asks who initiated the action that updated the customer record, you should be able to produce the answer in minutes, not weeks.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"13bb4d13-efac-4d5a-8b44-b6e78883d8ba\",\"text\":\"The Three Paths: LLM, MCP, and A2A\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"163a23c7-7b09-4848-96d2-86a40050ca32\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"The Three Paths: LLM, MCP, and A2A\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most AI gateways on the market only handle the LLM path. An agentic mesh has to govern all three.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Agent-to-LLM (the model path)\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A centralized proxy sits in front of OpenAI, Anthropic, Bedrock, and Gemini. It enforces token rate limits per team, PII filtering on prompts and responses, prompt guardrails against injection and jailbreak attempts, semantic caching to cut spend on repetitive queries, and model routing so agent code does not change when you swap providers.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The LLM path is the easiest to govern because it looks like API traffic. The hard part is doing it without forcing every agent codebase to import a vendor SDK. An OpenAI-compatible proxy is the practical answer. Agents keep calling \",\"type\":\"text\"},{\"text\":\"chat.completions\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\", but the gateway decides which model actually answers.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Agent-to-tool (the MCP path)\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Most agent value comes from calling tools. An order lookup. A Kafka topic read. A document search. Building those integrations once per agent is how you get sprawl. The mesh fixes this by exposing existing REST APIs as MCP tools through configuration, then enforcing method-level ACLs.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The MCP method matters. \",\"type\":\"text\"},{\"text\":\"tools/list\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" is a discovery call. \",\"type\":\"text\"},{\"text\":\"tools/call\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" is an execution. \",\"type\":\"text\"},{\"text\":\"resources/read\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" is a data fetch. \",\"type\":\"text\"},{\"text\":\"resources/subscribe\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" opens a stream. Treating them all as a single HTTP POST loses the security model. A proper MCP proxy enforces different scopes for different methods, applies rate limits at the tool level (not just the endpoint), and replaces static API keys with OAuth 2.1 bearer tokens that expire.\",\"type\":\"text\"}]},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null},\"content\":[{\"text\":\"Agent-to-agent (the A2A path)\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Peer agent communication is the newest pattern and the one most teams underestimate. When an agent delegates a task to another agent, you need to know which user originally initiated the workflow, what scope of action was delegated, and how to invalidate the chain if the user logs out.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The primitive that makes this work is RFC 8693 Token Exchange. An agent acting on a user's behalf exchanges the user's token for a scoped agent token. The new token carries an \",\"type\":\"text\"},{\"text\":\"act\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\" claim that names the agent as the actor. Subsequent agent-to-agent calls preserve this chain with automatic downscoping. When the user session ends, every delegated agent token in the chain gets invalidated.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This is what separates an agent mesh from a logging pipeline. If you cannot revoke an agent's access mid-workflow, you do not have a mesh.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"0f7447e7-39f7-4744-b54a-8ed4793001b0\",\"text\":\"Identity-First Security for the Agent Mesh\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"ff2d0515-952f-427e-97da-c7de07e3e0da\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Identity-First Security for the Agent Mesh\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agents differ from users. Standard IAM does not work.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"That statement encapsulates the core principle. Implementation divides into four practices:\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent identity. Every agent gets its own credentials, its own scopes, and its own audit identity. No shared service accounts. An agent is a non-human principal with a verifiable identifier, not a shell account with broad permissions.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"MCP authorization. OAuth 2.1 plus PKCE for tool access. Short-lived bearer tokens, not static API keys. The MCP Resource Server validates the token, introspects the scope, and authorizes the specific method being called.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Secure agent delegation. RFC 8693 Token Exchange creates \",\"type\":\"text\"},{\"text\":\"act\",\"type\":\"text\",\"marks\":[{\"type\":\"code\"}]},{\"text\":\"-claim chains that survive across agent hops. When a user signs in to a help desk app and the app's agent delegates a billing lookup to a finance agent, the billing agent's token carries both the user's identity and the chain of actors. Session revocation cascades automatically.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Fine-grained authorization. OpenFGA and AuthZen for ReBAC (relationship-based access control) at the tool, method, and resource level. Static roles do not scale to agent workloads. Authorization needs to be a just-in-time decision: can this agent, acting on behalf of this user, call this tool with these arguments right now?\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The line worth memorizing: if you cannot revoke an agent's access in the middle of a workflow, you do not have an agent mesh.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"fffad82d-a1ed-4181-b8a6-b733a3bc5a5a\",\"text\":\"Anatomy of an AgentMesh Architecture\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"726324fa-0405-4d56-8681-0c60af99639b\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Anatomy of an AgentMesh Architecture\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A functioning agentmesh divides into four planes. The naming maps directly to how service meshes are described, which is intentional. The mental model transfers.\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Identity plane. Agentic IAM, OAuth 2.1 authorization server, FGA engine. Issues tokens, validates scopes, manages delegation chains, handles session revocation.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Control plane. Policy definitions, agent registry, tool catalog, model routing rules. Where platform teams declare what is allowed before agents run.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Data plane. The AI gateway that enforces policies on LLM, MCP, and A2A traffic in real time. Every agent call passes through it. No exceptions, or governance is theater.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Observability plane. Token tracking, chain-of-thought traces, MCP analytics, A2A topology. Closes the loop so platform teams can answer questions about agent behavior after the fact and adjust policy before the next incident.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"A detail most architecture diagrams miss: the same control plane should govern your APIs and events too. Splitting governance across three platforms (an API gateway, an event broker, and a standalone AI gateway) recreates the sprawl the mesh is supposed to solve. One control plane, three protocols, consistent policy. That is the target.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"dc9ac75f-4fd9-4b39-8793-e75b37ec182d\",\"text\":\"Implementation Roadmap: From API Sprawl to Agent Mesh\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"e5fb02ee-7fd0-4ac8-831f-3b62a2ff5df5\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Implementation Roadmap: From API Sprawl to Agent Mesh\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Greenfield agent mesh rollouts are uncommon. Most enterprises arrive with API sprawl already in production and need to add agent governance without breaking what works. The roadmap is four phases.\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Inventory. Federate discovery across existing gateways: AWS API Gateway, Apigee, MuleSoft, IBM API Connect, Confluent, Solace. You cannot govern what you cannot see. A federated catalog surfaces every API, every event topic, and eventually every agent in one searchable view.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Expose APIs as tools. Use an Agent Tool Server to convert OpenAPI specs into MCP tools without rewriting backends. The gateway generates the tool definitions agents discover, and all existing API policies (auth, rate limits, logging) continue to apply.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Add agent identity. Register agents in the IAM platform. Replace shared keys with OAuth 2.1 client credentials and delegated tokens. Start with one agent, one workflow, one tool. Prove the audit trail works before expanding.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Govern the three paths. Put LLM, MCP, and A2A traffic behind a single gateway with consistent policies. PII filtering on prompts. Tool-level ACLs on MCP. Delegation chains on A2A. One developer portal where agent producers and consumers find each other.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Federated API Management is the on-ramp. If you already operate a multi-vendor gateway estate, you do not have to rip anything out to start governing agents. You add a federation layer that sits above your existing gateways, then extend it to the agent paths as you go.\",\"type\":\"text\"}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"4c1d0a16-639b-4560-92a9-c55817d7aaf8\",\"text\":\"Best Practices for Running an Agentic Mesh\",\"component\":\"ArticleAnchor\"},{\"_uid\":\"5c9818bf-37ed-4fe0-952d-52f840231398\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"attrs\":{\"backgroundColor\":null},\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Best Practices for Running an Agentic Mesh\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Centralized control, decentralized execution. Policies defined once, enforced everywhere. Agent teams should not write their own auth middleware.\",\"type\":\"text\"}]},{\"type\":\"ordered_list\",\"attrs\":{\"order\":1},\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Zero trust by default. Every agent interaction authenticated and authorized. No implicit trust between agents, even inside the same cluster.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Policy as code. APIs, agents, and policies in Git, deployed via Terraform or a Kubernetes Operator. UI-driven configuration drifts within a quarter.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Open standards. OAuth 2.1, MCP, A2A, OpenFGA, AuthZen. 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Manage APIs and policies as code.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Federated gateways\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" - Connect Gravitee with \",\"type\":\"text\"},{\"text\":\"IBM\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"MuleSoft\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", and \",\"type\":\"text\"},{\"text\":\"Confluent\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" ecosystems.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Agent Mesh\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/platform/agent-mesh\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#FF492C\"}}]},{\"text\":\" - Govern APIs, events, and agents with \",\"type\":\"text\"},{\"text\":\"Agent Tool Server\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"Agent Catalog\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"LLM Policies\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", and \",\"type\":\"text\"},{\"text\":\"A2A proxy\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" support.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"…and much more.\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"And we’re not slowing down.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Earlier this year, we announced the\",\"type\":\"text\"},{\"text\":\" \",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/gravitee-acquires-ambassador-to-accelerate-agentic-api-event-management\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#FF492C\"}}]},{\"text\":\"Ambassador acquisition\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/blog/gravitee-acquires-ambassador-to-accelerate-agentic-api-event-management\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#1155CC\"}}]},{\"text\":\" - a major step that accelerates our vision for \",\"type\":\"text\"},{\"text\":\"Agentic API \\u0026 Event Management\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". This move strengthens our position as the go-to platform for managing not only APIs and events, but also the next generation of AI-powered agent interactions such as with LLM, MCP and A2A.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"We’ve also seen incredible growth in our customer community, with global organizations like\",\"type\":\"text\"},{\"text\":\" \",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/case-studies/michelin\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#FF492C\"}}]},{\"text\":\"Michelin\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/case-studies/michelin\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#1155CC\"}}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"Verint\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/case-studies/verint\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#FF492C\"}}]},{\"text\":\" and\",\"type\":\"text\"},{\"text\":\" \",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/case-studies/swisspost\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#FF492C\"}}]},{\"text\":\"Swiss Post\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://www.gravitee.io/case-studies/swisspost\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#1155CC\"}}]},{\"text\":\" trusting Gravitee to power secure, scalable connectivity.\",\"type\":\"text\"}]},{\"type\":\"horizontal_rule\"},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"1467374a-9fd6-4e96-a052-68b62e332efe\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Recognition across Gartner reports\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}},{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"According to the \",\"type\":\"text\"},{\"text\":\"2025 Gartner Critical Capabilities for API Management\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://landing.gravitee.io/gartner_2025_critical_capabilities_api_management?_gl=1*jwttq4*_gcl_au*MTQ4OTk2MzQ1OS4xNzYwMDE2ODUx\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#FF492C\"}}]},{\"text\":\" report\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://landing.gravitee.io/gartner_2025_critical_capabilities_api_management?_gl=1*jwttq4*_gcl_au*MTQ4OTk2MzQ1OS4xNzYwMDE2ODUx\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}}]},{\"text\":\", \",\"type\":\"text\"},{\"text\":\"Gravitee was ranked among the 5 highest scoring vendors across all six evaluated use cases - the only vendor to be amongst the 5 highest ranked vendors for all 6 use cases\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\".\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"We believe this consistency highlights the flexibility and breadth of the Gravitee platform - delivering value whether you’re focused on internal developer enablement, integration modernization, event-driven architecture, or emerging AI use cases.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"We’re especially proud that Gravitee was ranked among the\",\"type\":\"text\"},{\"text\":\" two highest ranked vendors in the AI Enablement Use Case\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\". We believe this validates the work we’ve done to prepare for the new era of \",\"type\":\"text\"},{\"text\":\"Agentic APIs\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", where intelligent systems communicate securely through governed, observable channels - whether it is with LLMs, MCP Servers or other agents over the A2A protocol.\",\"type\":\"text\"}]},{\"type\":\"horizontal_rule\"},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"642dd0ff-d8ef-4706-8da2-195577b32f52\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"Building for what’s next: Gravitee 4.9 and beyond\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}},{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Our upcoming \",\"type\":\"text\"},{\"text\":\"Gravitee 4.9\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" release will introduce powerful new capabilities designed for this next stage of connectivity:\",\"type\":\"text\"}]},{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Kafka Console\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" for simplified streaming API design, governance, and monitoring.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Multi-cloud and multi-region Cloud Gateways\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", enabling truly global scalability.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Newt AI\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", our intelligent assistant that helps developers design, deploy, and troubleshoot APIs and event streams faster than ever.\",\"type\":\"text\"}]}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Looking ahead to 4.10, we’re extending \",\"type\":\"text\"},{\"text\":\"Agent Mesh\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", our new capabilities for governing AI Agents and their interactions with LLMs, MCP Servers and other agents over the A2A protocol, with next-generation identity and authorization capabilities. Gravitee’s strong foundation in Access Management (AM) will soon power new features like \",\"type\":\"text\"},{\"text\":\"MCP Server authorization, Agent Delegation, and Fine-grained Authorization for Agents and MCP Clients\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\".\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"We’ll also deepen our \",\"type\":\"text\"},{\"text\":\"MCP and LLM Proxy Gateway\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\" functionality to secure, govern, and observe how AI Agents and LLMs communicate, ensuring that AI interactions are not just powerful, but accountable and auditable.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"For us, AI enablement isn’t about hype.\",\"type\":\"text\"},{\"type\":\"hard_break\"},{\"text\":\"It’s about delivering the infrastructure that makes agentic systems secure and trustworthy, grounded in the same Gravitee principles of openness, transparency, and control.\",\"type\":\"text\"}]},{\"type\":\"horizontal_rule\"},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"360e4b2e-442d-43af-a523-442dbf3d909d\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"The Agentic era is here\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}},{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The rise of AI Agents represents a fundamental shift in how systems communicate and how businesses scale.\",\"type\":\"text\"},{\"type\":\"hard_break\"},{\"text\":\"At Gravitee, we’re not just adapting to that change - we’re helping define it.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Through \",\"type\":\"text\"},{\"text\":\"Agent Mesh\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\", Gravitee gives organizations the power to secure, manage, and observe interactions between APIs, Events, and Agents - all within the same unified framework. And as hosts of the\",\"type\":\"text\"},{\"text\":\" \",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://a2asummit.ai/\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#FF492C\"}}]},{\"text\":\"A2A Summit\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://a2asummit.ai/\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#1155CC\"}},{\"type\":\"underline\"}]},{\"text\":\" - the world’s first conference for the A2A protocol, we’re proud to bring together the industry’s brightest minds to shape how this new ecosystem evolves.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The Agentic future isn’t about replacing humans; it’s about extending creativity, insight, and collaboration across digital ecosystems. Gravitee is committed to providing the secure connective tissue that makes that possible.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"horizontal_rule\"}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"4ac826a0-e996-4205-8008-f5963386e29f\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"heading\",\"attrs\":{\"level\":2,\"textAlign\":null},\"content\":[{\"text\":\"A huge Thank You\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}},{\"type\":\"bold\"}]}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"For us, being recognized again as a Leader in the Gartner Magic Quadrant is not the end of our journey - it’s fuel for what comes next.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"To our customers, partners, and team: thank you.\",\"type\":\"text\"},{\"type\":\"hard_break\"},{\"text\":\"You’ve helped us prove that open innovation and enterprise trust can coexist - and that when you truly Hold Nothing Back, the possibilities are endless.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Read the \",\"type\":\"text\"},{\"text\":\"full \",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://landing.gravitee.io/gartner-2025-apim-mq-download-gravitee-named-a-leader\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}}]},{\"text\":\"2025 Gartner Magic Quadrant for API Management report\",\"type\":\"text\",\"marks\":[{\"type\":\"link\",\"attrs\":{\"href\":\"https://landing.gravitee.io/gartner-2025-apim-mq-download-gravitee-named-a-leader\",\"uuid\":null,\"anchor\":null,\"target\":null,\"linktype\":\"url\"}},{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#FF492C\"}}]},{\"text\":\" to explore why we believe Gravitee continues to drive the way in Secure, Discoverable, and Observable connectivity\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]},{\"text\":\"- for \",\"type\":\"text\"},{\"text\":\"Any API, Any Event, Any Agent\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\".\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Hold Nothing Back.\",\"type\":\"text\"}]},{\"type\":\"horizontal_rule\"},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"footer\":[],\"header\":[],\"anchorId\":\"\",\"bodyAlign\":\"\",\"bodyWidth\":\"\",\"component\":\"Text\",\"layoutArea\":\"\",\"paddingTop\":\"\",\"textColour\":\"\",\"bodySpacing\":\"\",\"displayName\":\"\",\"footerAlign\":\"\",\"footerWidth\":\"\",\"headerAlign\":\"\",\"headerWidth\":\"\",\"bodyTextAlign\":\"\",\"footerSpacing\":\"\",\"headerSpacing\":\"\",\"paddingBottom\":\"\",\"footerTextAlign\":\"\",\"headerTextAlign\":\"\",\"highlightColour\":\"\",\"backgroundColour\":\"\"},{\"_uid\":\"4274dec2-b484-4907-a76c-4f658c0202d7\",\"body\":[{\"_uid\":\"a8e00416-f1d3-4eab-8c5e-64fe714489dd\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Gartner, Magic Quadrant for API Management, Mark O’Neill, John Santoro, Akshat Vaid, 19 September 2025. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}},{\"type\":\"italic\"}]},{\"type\":\"hard_break\"},{\"text\":\"Gartner, Critical Capabilities for API Management, Shameen Pillai, John Santoro, Steve Schwent, Nicholas Carter, 7 October 2024\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}},{\"type\":\"italic\"}]},{\"type\":\"hard_break\"},{\"type\":\"hard_break\"},{\"text\":\"GARTNER is a registered trademark and service mark, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. 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Airport API Platform Case Study | Gravitee\",\"created_at\":\"2026-08-06T09:54:30.319Z\",\"published_at\":\"2026-08-06T15:04:08.481Z\",\"updated_at\":\"2026-08-06T15:04:08.512Z\",\"id\":206112646473991,\"uuid\":\"9f0e70a1-047b-4aec-ac73-6396b40b9d59\",\"content\":{\"_uid\":\"4cf49e51-cb9f-4867-9cfe-d65b2af0592a\",\"body\":[{\"_uid\":\"dc739cb2-3f0b-42d7-a316-5e72d8251634\",\"body\":[{\"_uid\":\"80104d8f-b670-4f29-a02e-7b1f680d2f5f\",\"column1\":[{\"_uid\":\"7817810a-a5b3-4ac0-bfcf-119c681492f8\",\"align\":\"\",\"width\":\"\",\"headline\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Company 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München GmbH (FMG), established in 1949, operates Munich Airport and its subsidiaries. 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Since then, with digital acceleration and API-enablement, INVERS has grown to empower mobility providers worldwide with automatic sharing of cars, mopeds and kick-scooters.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]},{\"type\":\"hard_break\"},{\"type\":\"hard_break\"},{\"text\":\"Being at the frontier of their industry, INVERS were quick adopters of APIs. They researched and implemented APIs as the tech stack matured, which led to multiple APIs for each product or service range, and for a variety of geographies and use cases. 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Gravitee\",\"created_at\":\"2026-08-04T09:28:21.691Z\",\"published_at\":\"2026-08-06T15:04:06.710Z\",\"updated_at\":\"2026-08-06T15:04:06.733Z\",\"id\":205398432565414,\"uuid\":\"48ccbaef-065c-478f-9fc4-81cb44a2a055\",\"content\":{\"_uid\":\"4cf49e51-cb9f-4867-9cfe-d65b2af0592a\",\"body\":[{\"_uid\":\"dc739cb2-3f0b-42d7-a316-5e72d8251634\",\"body\":[{\"_uid\":\"80104d8f-b670-4f29-a02e-7b1f680d2f5f\",\"column1\":[{\"_uid\":\"7817810a-a5b3-4ac0-bfcf-119c681492f8\",\"align\":\"\",\"width\":\"\",\"headline\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Company 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employees\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"heading\",\"attrs\":{\"level\":3,\"textAlign\":null}}]},\"align\":\"\",\"width\":\"\",\"iconSize\":\"md\",\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentIconAndText\",\"iconStyle\":\"outline-primary\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"column2\":[{\"_uid\":\"1fc0e12f-d205-40b1-b258-f347cd895413\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Prospera Credit Union, a prominent member-owned financial institution based in Canada, has always been committed to empowering its members and communities through personalized financial services and support. With a rich history that spans over 75 years, Prospera has established itself as a trusted partner to its members, offering a comprehensive range of banking products and services designed to meet the diverse needs of individuals and businesses alike. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]},{\"type\":\"hard_break\"},{\"type\":\"hard_break\"},{\"text\":\"Prospera's dedication to innovation, member satisfaction, and community involvement is at the heart of its operations, driving its continuous efforts to enhance its digital banking capabilities and accessibility. As the financial sector’s digital transformation is accelerating and driving the need for more agile, secure, and customer-centric banking services, Prospera has recognized the importance of adopting new technologies. Prospera’s partnership with Gravitee is evidence of this mindset, focusing on event-driven architectures and advanced API management to modernize banking services for more user-friendly, efficient, and secure banking experiences.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]},{\"type\":\"hard_break\"},{\"type\":\"hard_break\"},{\"text\":\"The following case study explores how Prospera has partnered with Gravitee to achieve these transformation goals. \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentColumns\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"columnSplit\":\"33-66\",\"displayName\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"footer\":[],\"header\":[],\"anchorId\":\"\",\"bodyAlign\":\"\",\"bodyWidth\":\"\",\"component\":\"Text\",\"layoutArea\":\"\",\"paddingTop\":\"\",\"textColour\":\"\",\"bodySpacing\":\"\",\"displayName\":\"\",\"footerAlign\":\"\",\"footerWidth\":\"\",\"headerAlign\":\"\",\"headerWidth\":\"\",\"bodyTextAlign\":\"\",\"footerSpacing\":\"\",\"headerSpacing\":\"\",\"paddingBottom\":\"sm\",\"footerTextAlign\":\"\",\"headerTextAlign\":\"\",\"highlightColour\":\"\",\"backgroundColour\":\"\"},{\"_uid\":\"6370b3bc-1313-4d3b-a4a4-fddf8e6c923e\",\"body\":[{\"_uid\":\"353bd2cf-08fc-4831-9444-311fa6fb40ca\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"horizontal_rule\"},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"b4db1811-39e2-4e5c-b4be-e7a7f648bde8\",\"column1\":[{\"_uid\":\"b1c4e18e-016f-4132-9992-e805377316c1\",\"align\":\"\",\"width\":\"\",\"headline\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The Challenge\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"m20-d32\",\"textWrap\":\"\",\"component\":\"ContentHeadline\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\",\"textLetterSpacing\":\"\"}],\"column2\":[{\"_uid\":\"e4b99666-7626-4693-82e2-9b31957404d2\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Faced with the evolving demands of the digital age, Prospera encountered significant challenges with its legacy API system. The existing infrastructure's limitations in flexibility and scalability hindered Prospera's ability to quickly adapt to new technological advancements and meet the growing expectations of its members. \",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"They needed a solution that could support real-time data processing, open banking standards, and a more agile service delivery model. \",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"In particular, Prospera wanted to extract data from their monolithic core system using a data streaming architecture to power distributed real-time databases and data brokers – a task that their legacy API management vendor couldn’t support. As already mentioned, they also have plans to implement a more robust open banking offering that will require not only handling a huge volume of API calls per month, but also must support real-time data streaming and event brokers (Kafka specifically). \",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Sheldon Schwartzenberger (Manager, Enterprise Applications @ Prospera) lays out one example of a Prospera use case for Kafka: \\\"Let’s take credit enablement as an example. Once we stand up this architecture, our credit enablement team can subscribe to a [Kafka] topic. Then once a transaction gets written into the banking system, it can be streamed out to another database where we can use that asynchronous call to then stream that data out to these different businesses and capabilities; then we’re not putting all the load on a single instance.\\\" All of this needed to be accomplished in a user-friendly way to enable Prospera to pivot quickly and maintain a competitive advantage.\",\"type\":\"text\"}]}]}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentColumns\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"columnSplit\":\"33-66\",\"displayName\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"footer\":[],\"header\":[],\"anchorId\":\"\",\"bodyAlign\":\"\",\"bodyWidth\":\"\",\"component\":\"Text\",\"layoutArea\":\"\",\"paddingTop\":\"0\",\"textColour\":\"\",\"bodySpacing\":\"\",\"displayName\":\"\",\"footerAlign\":\"\",\"footerWidth\":\"\",\"headerAlign\":\"\",\"headerWidth\":\"\",\"bodyTextAlign\":\"\",\"footerSpacing\":\"\",\"headerSpacing\":\"\",\"paddingBottom\":\"sm\",\"footerTextAlign\":\"\",\"headerTextAlign\":\"\",\"highlightColour\":\"\",\"backgroundColour\":\"\"},{\"_uid\":\"b820921a-1de2-46cf-a818-ad2368d37812\",\"body\":[{\"_uid\":\"69b68086-857f-41d2-ab46-02ccf1aedfcf\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"horizontal_rule\"},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"e563a37a-07fb-4b2b-aeba-535a86bc04f6\",\"column1\":[{\"_uid\":\"c80744c7-de8c-46b4-a199-d6f26bb26e81\",\"align\":\"\",\"width\":\"\",\"headline\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The Solution\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"m20-d32\",\"textWrap\":\"\",\"component\":\"ContentHeadline\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\",\"textLetterSpacing\":\"\"}],\"column2\":[{\"_uid\":\"6df3938f-ef18-4298-826f-2fce8c06d8a4\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Asynchronous API support: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"[Support for asynchronous APIs] was a big part of our search because we've been working on modernizing the architecture for the company…For example, our telephone banking system currently uses a physical card on a server. So if we’re trying to get rid of that server, we can’t because there’s a physical dependency on bare metal. But what we can do with this new architecture is to take that database, replicate it out, and do all the banking reads from a near real-time database through the APIs instead of being dependent upon bare metal.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"type\":\"hard_break\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Flexible and User friendly:\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" We basically had to decommission our APIs in the legacy system and pipe them over to Gravitee. For us to stand that up in the legacy system, it took 2 years and it was very complex. For us to take that same set of APIs and move them into the new platform, it took 5 weeks. To me, standing up a policy and putting it in place is quick and easy in Gravitee. It's fantastic.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"type\":\"hard_break\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"API security and audit trail: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"[Gravitee] enables us to support multiple levels of the API, which helps to build in security. And then we can manage it all through a single platform and have that holistic view of our API environment… We can also really take a look at everything to understand who’s done what and why; that’s crucial for our security team.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"type\":\"hard_break\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Scalable Gateway Development: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"Our current system has a single server that handles all requests for client applications; it’s not very well distributed… With Gravitee, we can stand up as many gateways as we want, which really supports what we want to do.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"type\":\"hard_break\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Performance Analytics: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"So far, we’ve seen a 50% decrease in our response times with Gravitee as compared with our legacy API management solution. Measuring those metrics is going to be really integral as we go forward with open banking and data streaming. We’re going to be able to monitor these metrics for compliance purposes but also for quick response times in the event of an anomaly.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Direct access to executive team: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"Having that direct access to the leadership team – the founders and everything – you don’t normally get that with a company. So, to me, it really stands out for Gravitee. We can actually go directly to the source that wrote the code for this platform and pick his brain.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentColumns\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"columnSplit\":\"33-66\",\"displayName\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"footer\":[],\"header\":[],\"anchorId\":\"\",\"bodyAlign\":\"\",\"bodyWidth\":\"\",\"component\":\"Text\",\"layoutArea\":\"\",\"paddingTop\":\"0\",\"textColour\":\"\",\"bodySpacing\":\"\",\"displayName\":\"\",\"footerAlign\":\"\",\"footerWidth\":\"\",\"headerAlign\":\"\",\"headerWidth\":\"\",\"bodyTextAlign\":\"\",\"footerSpacing\":\"\",\"headerSpacing\":\"\",\"paddingBottom\":\"sm\",\"footerTextAlign\":\"\",\"headerTextAlign\":\"\",\"highlightColour\":\"\",\"backgroundColour\":\"\"},{\"_uid\":\"bfa10604-51ba-4d37-afc0-3d7e89f55a19\",\"body\":[{\"_uid\":\"adad1bca-2ebc-4f11-bcb7-13499f8dff5f\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"horizontal_rule\"},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"6c84ab8f-c47a-4e4f-bf4b-bd2eeab85119\",\"column1\":[{\"_uid\":\"fdc4fee9-252e-4d37-8061-6b7b28c94e3a\",\"align\":\"\",\"width\":\"\",\"headline\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The Result\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"m20-d32\",\"textWrap\":\"\",\"component\":\"ContentHeadline\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\",\"textLetterSpacing\":\"\"}],\"column2\":[{\"_uid\":\"edfb24b1-9cb8-4d98-906e-2f31a76baefd\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Event-Driven Architecture and Streaming Initiatives:\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"text\":\"Prospera's strategic focus on event-driven architecture and streaming capabilities aims to modernize their systems completely. The anticipated transition to open banking by 2025 required a robust, flexible API management solution capable of handling asynchronous data streams and connecting to Kafka clusters, both of which are covered by Gravitee.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Overcame Legacy System challenges:\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" The limitations of Prospera's legacy system, particularly its inability to pivot and deploy quickly, underscored the need for a more distributed architecture. By 2025, Prospera estimates 55 million API calls monthly, necessitating a shift away from a single-server dependency to a scalable, distributed architecture like Gravitee’s.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"type\":\"hard_break\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Modernized telephone banking:\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" Prospera’s telephone banking system can now be modernized using Gravitee. Instead of relying on physical hardware, Prospera will be able to replicate core data and serve reads from real-time APIs.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"type\":\"hard_break\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Performance Improvements: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"The migration of APIs from Prospera’s legacy APIM solution to Gravitee not only reduced development time from two years to five weeks but also cut response times in half -- from 200ms with the legacy APIM vendor to 96ms with Gravitee. These improvements are indicative of Gravitees superior performance and its alignment with Prospera's agile and innovative goals.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"type\":\"hard_break\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Regulatory Compliance and Operational Excellence: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"Prospera maintains strict regulatory compliance, with dedicated teams for risk, security, and compliance. The separation of duties is a critical aspect of their operational model, ensuring that development and provisioning processes are distinct and secure. 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Riksidrottsförbundet needed a system that could not only manage these varied requirements but also ensure the safety and security of the data being exchanged while playing nicely with their existing Kubernetes infrastructure and partner ecosystem.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The API management requirements for Riksidrottsförbundet were both intricate and critical. For one, they needed a developer portal that could provide the foundations for a user-friendly platform where sports associations – as integrators – could easily access Riksidrottsförbundet’s APIs, complete with comprehensive documentation and support resources. \",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Riksidrottsförbundet also needed to be able to manage dynamic client registrations (DCR). 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So as they began a search for a new APIM solution, they needed to be able to migrate more then 100 production APIs from another APIM platform so that their \\u003e24,000 consumers could continue their work seamlessly and without critical business disruption.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"#000000\"}}]}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentColumns\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"columnSplit\":\"33-66\",\"displayName\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"footer\":[],\"header\":[],\"anchorId\":\"\",\"bodyAlign\":\"\",\"bodyWidth\":\"\",\"component\":\"Text\",\"layoutArea\":\"\",\"paddingTop\":\"\",\"textColour\":\"\",\"bodySpacing\":\"\",\"displayName\":\"\",\"footerAlign\":\"\",\"footerWidth\":\"\",\"headerAlign\":\"\",\"headerWidth\":\"\",\"bodyTextAlign\":\"\",\"footerSpacing\":\"\",\"headerSpacing\":\"\",\"paddingBottom\":\"sm\",\"footerTextAlign\":\"\",\"headerTextAlign\":\"\",\"highlightColour\":\"\",\"backgroundColour\":\"\"},{\"_uid\":\"6370b3bc-1313-4d3b-a4a4-fddf8e6c923e\",\"body\":[{\"_uid\":\"353bd2cf-08fc-4831-9444-311fa6fb40ca\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"horizontal_rule\"},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"b4db1811-39e2-4e5c-b4be-e7a7f648bde8\",\"column1\":[{\"_uid\":\"b1c4e18e-016f-4132-9992-e805377316c1\",\"align\":\"\",\"width\":\"\",\"headline\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The Challenge\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"m20-d32\",\"textWrap\":\"\",\"component\":\"ContentHeadline\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\",\"textLetterSpacing\":\"\"}],\"column2\":[{\"_uid\":\"e4b99666-7626-4693-82e2-9b31957404d2\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"As a leading logistics company in the Benelux, PostNL has recently introduced a cutting-edge API capability, marking the beginning of their journey towards extreme customer integration. With a focus on state-of-the-art security and integration capabilities, PostNL aims to set themselves apart from other logistics providers in this domain.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Their primary goals are to enhance the ease of onboarding, ensure unparalleled reliability, and offer a wide range of state-of-the-art integration capabilities. By leveraging these advancements, PostNL aims to provide a seamless experience to their customers, allowing them to effortlessly integrate their logistics operations while maintaining the highest standards of security and reliability.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Prior to their start with Gravitee, PostNL had been using a different APIM tool – they increasingly became uncomfortable at the fact it ran on an old, unsupported vendor. Besides that, large renewal costs, technical dependencies, and complexity drove PostNL’s decision to seek a new solution. As they began to re-evaluate their investment in a vendor, they had two use cases to address:\",\"type\":\"text\"},{\"type\":\"hard_break\"},{\"text\":\"PostNL utilizes external-facing APIs where they provide different types of tracking services to commercial customers that utilize their APIs (~9000 SME and enterprise businesses)\",\"type\":\"text\"},{\"type\":\"hard_break\"},{\"text\":\"They also have \\u003e50 internal consumers (internal DEV teams) that utilize APIs across PostNL’s systems, and the previous platform was not only too complex, but also lacked the agility to support this level of usage.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"To support these two API needs, PostNL required the ability to streamline the way they handle APIs so that they could easily manage their entire API landscape inhouse. They needed a solution that was easy to use, highly performant, and allowed them to flexibly host the gateways themselves. \",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Having done their research, PostNL scheduled a conversation with another Gravitee customer in the same industry to discuss whether Gravitee might be the right fit. Ultimately, it was not only the positive reference from an existing customer but also the proven ease of use, flexibility of deployment, and accommodation of high demands for performance and sophisticated APIs that determined PostNL’s final decision. \",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"This required a modern API Gateway \\u0026 Access Management solution. At the start, their Engineering team decided to build their own in-house Gateway and Access Management solution. While this worked initially, they quickly realized that it wouldn’t cut it as they began to 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Solution\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"m20-d32\",\"textWrap\":\"\",\"component\":\"ContentHeadline\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\",\"textLetterSpacing\":\"\"},{\"_uid\":\"f03e7457-597d-4eec-af43-09d43697d429\",\"align\":\"\",\"quote\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Gravitee has a product roadmap that seamlessly binds to our future integration ambitions, and the immediate partnership and direct access to Gravitee leadership sets them apart from any other vendor in the industry.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"width\":\"\",\"border\":true,\"citation\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"PostNL Representative\",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]}]}]},\"component\":\"ContentQuoteCard\",\"textColour\":\"\",\"borderRadius\":\"\",\"highlightColour\":\"\",\"backgroundColour\":\"\"}],\"column2\":[{\"_uid\":\"6df3938f-ef18-4298-826f-2fce8c06d8a4\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Architecture:\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"text\":\"PostNL has complete flexibility to put every single component in their chosen data center with their chosen configurations\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Installation: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"The fully private deployment model allows PostNL complete flexibility regarding location, deployment type, number of gateway configurations, and every aspect of the platform.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Ease of use:\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" U\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"text\":\"nlike the previous API management solution, Gravitee allows PostNL to fully manage and secure its APIs landscape in house through a simple API designer, policy studio, environment management platform, and more.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Variety of policies:\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"text\":\"Gravitee’s API management solution supports a wide variety of policies that have allowed PostNL to make their APIs more reliable and secure.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Custom solutions: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"B\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"text\":\"ecause of their growing, sophisticated API and policy needs, PostNL required a solution that could adapt and grow with them. Gravitee built a Javascript policy to support their need for a “lift and shift” solution to migrate custom scripts from their previous vendor to Gravitee with no problem. Gravitee also built an upgrade module to enable similar creation of API products in Gravitee.\",\"type\":\"text\"}]}]}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentColumns\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"columnSplit\":\"33-66\",\"displayName\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"footer\":[],\"header\":[],\"anchorId\":\"\",\"bodyAlign\":\"\",\"bodyWidth\":\"\",\"component\":\"Text\",\"layoutArea\":\"\",\"paddingTop\":\"0\",\"textColour\":\"\",\"bodySpacing\":\"\",\"displayName\":\"\",\"footerAlign\":\"\",\"footerWidth\":\"\",\"headerAlign\":\"\",\"headerWidth\":\"\",\"bodyTextAlign\":\"\",\"footerSpacing\":\"\",\"headerSpacing\":\"\",\"paddingBottom\":\"sm\",\"footerTextAlign\":\"\",\"headerTextAlign\":\"\",\"highlightColour\":\"\",\"backgroundColour\":\"\"},{\"_uid\":\"bfa10604-51ba-4d37-afc0-3d7e89f55a19\",\"body\":[{\"_uid\":\"adad1bca-2ebc-4f11-bcb7-13499f8dff5f\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"horizontal_rule\"},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"6c84ab8f-c47a-4e4f-bf4b-bd2eeab85119\",\"column1\":[{\"_uid\":\"fdc4fee9-252e-4d37-8061-6b7b28c94e3a\",\"align\":\"\",\"width\":\"\",\"headline\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The 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uses Gravitee to manage and protect hundreds of APIs, most of which provide electronic labeling and parcel tracking that allow PostNL to produce labels for domestic use as well as for Parcels EU and Parcels Non-EU (worldwide). 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It has records on each student so that we can enable digital services that can be personalized and provide a seamless student journey for each of our 30,000+ students. Not everyone has access of course: you can’t allow random people to ask for student information! 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In less than a year, the introduction of Gravitee has significantly altered how teams deliver software and integration projects.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Piironen describes the messaging and notification apps as a key example of how product development has sped up, and allowed more targeted use cases to be addressed.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Piironen also highlighted how the availability of APIs and exposing data to trusted partners, both internally and to external systems, has not compromised security.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"One of the surprising outcomes in just over a year, has been how much APIs are now in the conversations and mindset of business leaders across the education and research institution.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"In only a year, the introduction of Gravitee’s easy-to-implement, open source API management platform has allowed the largest university in Finland to digitize the student journey, reduce duplication, speed up product development, and enhance the student experience across its faculties and research centers.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentColumns\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"columnSplit\":\"33-66\",\"displayName\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"footer\":[],\"header\":[],\"anchorId\":\"\",\"bodyAlign\":\"\",\"bodyWidth\":\"\",\"component\":\"Text\",\"layoutArea\":\"\",\"paddingTop\":\"0\",\"textColour\":\"\",\"bodySpacing\":\"\",\"displayName\":\"\",\"footerAlign\":\"\",\"footerWidth\":\"\",\"headerAlign\":\"\",\"headerWidth\":\"\",\"bodyTextAlign\":\"\",\"footerSpacing\":\"\",\"headerSpacing\":\"\",\"paddingBottom\":\"sm\",\"footerTextAlign\":\"\",\"headerTextAlign\":\"\",\"highlightColour\":\"\",\"backgroundColour\":\"\"},{\"_uid\":\"2e1dd247-9142-4e6c-8c5c-4b79a081dcf4\",\"body\":[{\"_uid\":\"7768416b-d6fe-4c83-8e0b-b79ab88d834f\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"horizontal_rule\"},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"8480a999-d1af-492c-922b-0eadc8909c54\",\"column1\":[{\"_uid\":\"10c45dbd-8e09-495e-83cc-ade41c42015f\",\"align\":\"\",\"width\":\"\",\"headline\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The Results\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"m20-d32\",\"textWrap\":\"\",\"component\":\"ContentHeadline\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\",\"textLetterSpacing\":\"\"},{\"_uid\":\"1314ade4-3223-4c03-87f4-112cd1bb5488\",\"align\":\"\",\"quote\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Our message centre application can now send messages to different users: we produced some general APIs to allow searches for people and groups, drawing from different contacts datasets. 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Solution\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"m20-d32\",\"textWrap\":\"\",\"component\":\"ContentHeadline\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\",\"textLetterSpacing\":\"\"},{\"_uid\":\"41174798-fd06-4e5a-bcd2-27c9651476f1\",\"align\":\"\",\"quote\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The entire process of subscribing is automated and reduces our operational costs, my team only has to interact with support.\",\"type\":\"text\"}]}]},\"width\":\"\",\"border\":true,\"citation\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Anke Raich, Cluster Lead of Technical Enablement, Swiss 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MedImpact needed a solution that could enable them to streamline operations, enhance data security, and foster innovation to exceed client expectations for efficiency and reliability. In order to provide scalable, secure, and customizable pharmacy benefits for MedImpact’s wide range of clients, they needed an API management platform that could not only adapt to their ever-evolving requirements but also provide them with the reliability, observability, and flexibility that they needed to remain responsive to their customers.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Several specific API-related challenges led MedImpact to search for a new solution. Limited API observability led to delayed issue detection and resolution, Inconsistent API reliability affected service quality and customer satisfaction, Inefficient troubleshooting processes increased operational costs and downtime, Inability to manage API architecture and access both inside and outside of the data centers. \",\"type\":\"text\"}]}]}]}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentColumns\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"columnSplit\":\"33-66\",\"displayName\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"}],\"footer\":[],\"header\":[],\"anchorId\":\"\",\"bodyAlign\":\"\",\"bodyWidth\":\"\",\"component\":\"Text\",\"layoutArea\":\"\",\"paddingTop\":\"0\",\"textColour\":\"\",\"bodySpacing\":\"\",\"displayName\":\"\",\"footerAlign\":\"\",\"footerWidth\":\"\",\"headerAlign\":\"\",\"headerWidth\":\"\",\"bodyTextAlign\":\"\",\"footerSpacing\":\"\",\"headerSpacing\":\"\",\"paddingBottom\":\"sm\",\"footerTextAlign\":\"\",\"headerTextAlign\":\"\",\"highlightColour\":\"\",\"backgroundColour\":\"\"},{\"_uid\":\"b820921a-1de2-46cf-a818-ad2368d37812\",\"body\":[{\"_uid\":\"69b68086-857f-41d2-ab46-02ccf1aedfcf\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"horizontal_rule\"},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"\",\"textWrap\":\"\",\"component\":\"ContentRichtext\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\"},{\"_uid\":\"e563a37a-07fb-4b2b-aeba-535a86bc04f6\",\"column1\":[{\"_uid\":\"c80744c7-de8c-46b4-a199-d6f26bb26e81\",\"align\":\"\",\"width\":\"\",\"headline\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"The Solution\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"textSize\":\"m20-d32\",\"textWrap\":\"\",\"component\":\"ContentHeadline\",\"textAlign\":\"\",\"textStyle\":\"\",\"textColour\":\"\",\"textWeight\":\"\",\"textTransform\":\"\",\"textFontFamily\":\"\",\"textLineHeight\":\"\",\"highlightColour\":\"\",\"textLetterSpacing\":\"\"}],\"column2\":[{\"_uid\":\"6df3938f-ef18-4298-826f-2fce8c06d8a4\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"API observability:\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"text\":\"Leveraging Gravitee's logs for real-time application monitoring, MedImpact implemented Gravitee’s Splunk integration for better data analysis and insights.\",\"type\":\"text\"}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"API reliability: \",\"type\":\"text\",\"marks\":[{\"type\":\"bold\"}]},{\"text\":\"Transitioning to Gravitee's enterprise-grade gateways allowed for high availability and consistent performance. 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That’s my favorite bit. [Gravitee] has a proper roadmap.\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"width\":\"\",\"border\":true,\"citation\":{\"type\":\"doc\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Matthew Leismeier, Senior Integration Developer @ Cardiff University\",\"type\":\"text\"}]},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}},{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null}}]},\"component\":\"ContentQuoteCard\",\"textColour\":\"\",\"borderRadius\":\"\",\"highlightColour\":\"\",\"backgroundColour\":\"\"}],\"column2\":[{\"_uid\":\"6df3938f-ef18-4298-826f-2fce8c06d8a4\",\"align\":\"\",\"width\":\"\",\"richtext\":{\"type\":\"doc\",\"content\":[{\"type\":\"bullet_list\",\"content\":[{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"API Scalability \\u0026 Reliability: \",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\"Cardiff University needed an API management solution that could handle a high volume of transactions and spikes in API calls, especially during critical periods of the academic calendar. 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As an example, implementing Gravitee's dynamic routing policies has allowed the university to integrate with their identity management system, providing the flexibility to securely lock down APIs. This ensures compliance with university-wide security policies and significantly improves the overall security posture of their digital infrastructure.\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]},{\"type\":\"hard_break\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}}]}]}]},{\"type\":\"list_item\",\"content\":[{\"type\":\"paragraph\",\"attrs\":{\"textAlign\":null},\"content\":[{\"text\":\"Improved Monitoring and Analytics:\",\"type\":\"text\",\"marks\":[{\"type\":\"textStyle\",\"attrs\":{\"color\":\"\"}},{\"type\":\"bold\"}]},{\"text\":\" Gravitee has significantly improved Cardiff University's monitoring and analytics capabilities. Unlike their legacy solution, Gravitee offers a simple interface for viewing daily hits and comprehensive monitoring. This enhancement has enabled the university to identify pain points, increase functionality, and improve the resilience of their APIs. 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class=\"mvc-nav-dropdown-list\">\r\n                    \r\n                </ul>\r\n            </div>\r\n        </li>\r\n    </ul>\r\n</nav>\r\n\r\n\r\n<div class=\"main-container container-overwrite p-0 d-flex\" id=\"container-article\" itemscope itemtype=\"http://schema.org/NewsArticle\">\r\n\r\n    <div class=\"main-container-content \">\r\n        <meta itemprop=\"wordCount\" content=\"0\" />\r\n        <meta itemprop=\"inLanguage\" content=\"en\" />\r\n        <meta itemprop=\"description\" name=\"description\" content=\"Gravitee today published Agent Accountability, an open framework designed to help organizations establish identity, authority and oversight for AI agents....\" />\r\n        <meta itemprop=\"dateModified\" content=\"2026-08-06T12:00:00Z\" />\r\n        <meta itemscope itemprop=\"mainEntityOfPage\" itemType=\"https://schema.org/WebPage\" 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'https://ml.globenewswire.com/Resource/Download/4169b73f-9472-4008-80de-f5de8419a994?size=3';\r\n    } catch (ex) {\r\n        console.log(e);\r\n    }\r\n</script>\r\n\r\n\r\n\r\n            <h1 class=\"article-headline\" itemprop=\"headline\" >Gravitee Publishes Agent Accountability, an Open Framework for Governing AI Agents</h1>\r\n\r\n                <h2 class=\"article-sub-headline\" itemprop=\"alternativeHeadline\" >The Agent Accountability framework applies the same standards of identity, authority, and oversight organizations already require of employees to the AI agents now acting inside enterprise systems</h2>\r\n\r\n\r\n\r\n<p class=\"article-published-source\" style=\"min-height: 46px; min-width: 700px;\">\r\n\r\n\r\n    <span class=\"justify-content-start\">\r\n        <span class=\"article-published\" itemprop=\"datePublished\">\r\n            <time datetime=\"2026-08-06T12:00:00Z\">August 06, 2026 08:00 ET</time>\r\n        </span>\r\n\r\n        <span class=\"article-source\" style=\"min-width: 260px;\" itemprop=\"sourceOrganization\" itemscope itemtype=\"http://schema.org/Organization\">\r\n            <span>&nbsp;</span>| Source:\r\n            <span>\r\n\r\n                <a href=\"/en/search/organization/gravitee&#167;io\" itemprop=\"name\">gravitee.io</a>\r\n            </span>\r\n                <meta itemprop=\"logo\" url=\"https://ml.globenewswire.com/Resource/Download/4169b73f-9472-4008-80de-f5de8419a994?size=2\" alt=\"Company Name Logo\" />\r\n\r\n        </span>\r\n    </span>\r\n\r\n    <span id=\"pnr-global-follow-button\" class=\"pnr-follow-button-width-height\"></span>\r\n\r\n    <span itemprop=\"author copyrightHolder\" itemscope itemtype=\"http://schema.org/Organization\" style=\"display: none;\">\r\n        <span itemprop=\"name\">gravitee.io</span>\r\n    </span>\r\n            <p itemprop=\"dateline contentLocation\" style=\"display: none;\">\r\n                Denver, Colorado\r\n            </p>\r\n\r\n    \r\n\r\n</p>\r\n\r\n<script type=\"text/javascript\">\r\n    window.pnrApplicationSettings.articleSideBarSettings.orgDetails = {\r\n            location : 'Denver, Colorado',\r\n            name : \"gravitee.io\",\r\n            website : '',\r\n            industryName: 'Technology',\r\n            boilerplate: 'Gravitee is how you can finally manage event streams and agentic AI as securely and easily as traditional APIs – and bring together all your APIs in one place, no matter the gateway, broker or agent. Companies want to share more event- driven data than ever, but constant constraints – from security concerns, to inflexible tech, to a lack of discoverability and more – keep getting in the way. But when you can bring all your APIs together, build your API program without limits, and be ahead of where APIs are going, you can hold nothing back with the first Agentic API and Event Management platform. That’s why 100+ global organizations rely on Gravitee, and it’s why we’re a leader in the 2024 Gartner Magic Quadrant™ for API management. Visit gravitee.io for more information.',\r\n            isCompanyProfileSectionVisible: 'True' === 'True' ? true : false,\r\n            ceo: 'Rory Blundell',\r\n            numberOfEmployees: '50-999',\r\n            revenue: '',\r\n            netIncome: '',\r\n    }\r\n\r\n    window.pnrApplicationSettings.articleSideBarSettings.socialSettings = {\r\n        facebookHandle: '',\r\n        twitterHandle: '',\r\n        linkedInHandle: '',\r\n        youtubeHandle: '',\r\n        vimeoHandle: '',\r\n        tiktokHandle: '',\r\n        instagramHandle: '',\r\n        isSocialHandlersSectionVisible: 'False' === 'True' ? true : false,\r\n        isSocialTimeLineSectionStatus: {\r\n            twitterTimeLineSectionVisible : false,\r\n        },\r\n        isTwitterTimeLineEnabled:'False' === 'True' ? true : false,\r\n    }\r\n</script>\r\n\r\n        </div>\r\n        <hr />\r\n        <div class=\"main-scroll-container\">\r\n            <div id=\"pnr-global-social-media-sidebar-section\" style=\"display: block; position: absolute; height: 100%;\"></div>\r\n            <div class=\"main-body-container article-body \"  id=\"main-body-container\" itemprop=\"articleBody\">\r\n<p>DENVER, Aug.  06, 2026  (GLOBE NEWSWIRE) -- As enterprises race to deploy AI agents, <a href=\"https://www.globenewswire.com/Tracker?data=iNh5fqKIbE4jidpLBdammRf8rkFPqKGkpjn7P3svTOE_LZ-jd0ugA0Okq_LTarczqyS5vLOXkOQ5C_Rtv8hlQQ==\" rel=\"nofollow\" target=\"_blank\" title=\"\"><u>Gravitee</u></a>, a leading AI Agent Management company, today published Agent Accountability, an open framework designed to help organizations establish identity, authority and oversight for AI agents operating in production.</p>  <p>More than 7 million AI agents are already operating inside major enterprises, more than double the number just six months ago, according to Gravitee's own research data. Yet only about 11% of enterprises run agents in production today. Industry analysts have pointed to accountability, not raw capability, as one of the central barriers standing in the way of the rest: unlike human employees, agents typically have no verified identity, no defined authority, and no consistent record of what they did or why.</p>  <p>Agent Accountability addresses that gap directly. The framework defines five principles: Identity, Role, Authority, Oversight, and Recourse. Together, these principles mirror the way organizations manage new employees: assign a role and responsibilities, grant access, and maintain accountability. Each principle is broken into specific, assessable controls, so an organization can verify conformance for every agent it runs in production rather than treating governance as a one-time policy statement.</p>  <p>\"You wouldn't let a person act inside your company without a mechanism for accountability in place,\" said Rory Blundell, CEO of Gravitee. \"We think the same should be said of the millions of live agents. Every organization running agents in production is already asking this question. We wanted to give them a real answer.\"</p>  <p>The framework is being released under a Creative Commons license, free for any organization to read, adopt, or build on. Future plans are to publish further guidance mapping Agent Accountability's principles to existing and developing standards, protocols, and patterns for achieving its proposed controls.</p>  <p>\"An agent acting through an API or a tool call needs the same accountability as a person acting through a login,\" said Linus Hakansson, Chief Product and Technology Officer at Gravitee. \"We built this to be useful regardless of what stack an organization is running, because the problem doesn't go away depending on who's providing the model or the infrastructure.\"</p>  <p>Today's publication lays out the framework's five principles as a concept paper, open for public and industry input. Gravitee is inviting practitioners, standards bodies, and enterprise security and platform teams to help define the specific controls that will carry it toward a 1.0 release. Feedback can be submitted at <a href=\"https://www.globenewswire.com/Tracker?data=07u6leYweXosTfNbQ8xdlDW2jwqndgqcpFscFB5ot00LAzhMOM1GNNhUIYcnRTW31DK0wj35EXRFwWXkHHcRB8xeweftpXmCTK4AJqTc7WQv-TF1hWCvVscGMBwaWB1E3HSRhQ6kswsUwR7seimvWw==\" rel=\"nofollow\" target=\"_blank\" title=\"www.gravitee.io/agent-accountability\">www.gravitee.io/agent-accountability</a>.</p>  <p><strong>About Gravitee</strong><br />Gravitee is an AI Agent Management company that helps enterprises manage, secure, and govern AI agents, APIs, and event streams. Its Gamma platform spans Agent Management, API Management, Event Management, Authorization Management, and Identity &amp; Access Management, giving organizations the visibility, control, and governance infrastructure they need to operate confidently in an agentic world.</p>  <p>For more information, visit <a href=\"https://www.globenewswire.com/Tracker?data=Bd4b03M_7KhG32ZeKcRQs0U_TWaEUEKE22-PjREYBrZ1xEjbioLKLdHxbYL196YrzOR9jP5Ddoval29oHvLnQQ==\" rel=\"nofollow\" target=\"_blank\" title=\"gravitee.io\">gravitee.io</a>.</p> <pre></pre> <br /><img alt=\"\" src='https://ml.globenewswire.com/media/MzIzODUyMjQtNWRjNi00NTUyLWE2N2QtYmEzYmYzNTFiYjQ3LTEyNjMxOTItMjAyNi0wOC0wNi1lbg==/tiny/gravitee-io.png' referrerpolicy='no-referrer-when-downgrade' />\r\n            </div>\r\n\r\n\r\n\r\n\r\n\r\n\r\n<script type=\"text/javascript\">\r\n\r\n\r\n</script>\r\n\r\n\r\n<!-- Contact -->\r\n    <div class=\"main-tags-attachments-container\" id=\"article-contact-section\">\r\n        <hr />\r\n        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                              Gravitee and Lexington Soft Announce Strategic Partnership to Advance API Management and AI Governance Across North America and India\r\n                                                        </a>\r\n                                                    </div>\r\n                                                    <div class=\"featuredNewsTxt\" style=\"max-width:850px\">\r\n                                                        <p>\r\n                                                            DENVER, BOSTON and CHENNAI, India, June  30, 2026  (GLOBE NEWSWIRE) -- Gravitee, a leading AI Agent Management company whose recently launched Gamma platform helps organizations manage, secure, and...\r\n                                                        </p>\r\n                                                        <a 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                                                <p>\r\n                                                            Gravitee, a leading AI Agent Management company, today announced a strategic partnership with Blue Altair, a boutique technology consulting firm.\r\n                                                        </p>\r\n                                                        <a href=\"https://www.globenewswire.com/news-release/2026/06/23/3315962/0/en/gravitee-and-blue-altair-partner-to-help-enterprises-modernize-api-management-and-prepare-for-agentic-ai.html\" class=\"btn-small-charcoal mt-2 mr-2 \" target=\"_self\">Read More</a>\r\n                                                    </div>\r\n                                                </div> <!-- newsLink -->\r\n                                            </div> <!-- col-lg-8 -->\r\n                                                <div class=\"col-lg-4 justify-content-center\">\r\n                                             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