All news with #apigee tag

🧩 Deutsche Bank adopted Google Cloud's Apigee to transform monolithic systems into a governed, scalable API ecosystem. The platform centralizes documentation, security policies, and governance while enabling discoverability and reuse across teams. Apigee enforces least-privilege access, rate limiting, and observability, and supports resilience, auto-scaling, and caching for high performance. This API-first foundation positions the bank for AI-ready, low-latency services and emerging standards.

🔒 Google’s Apigee now supports MCP with fully managed, remote servers, enabling organizations to expose existing APIs as agent tools without code changes or running MCP infrastructure. By creating an MCP proxy with your OpenAPI spec and a /mcp basepath, Apigee handles transcoding, protocol handling, and automatic registration in API hub. You can apply Apigee’s built-in security, identity, quota, and analytics controls to govern and monitor agent interactions. The capability is currently available in preview for a limited set of customers.

🔒 Google Cloud’s Model Armor integrates with Apigee to screen prompts, responses, and agent interactions, helping organizations mitigate prompt injection, jailbreaks, sensitive data exposure, malicious links, and harmful content. The model‑agnostic, cloud‑agnostic service supports REST APIs and inline integrations with Apigee, Vertex AI, Agentspace, and network service extensions. The article provides step‑by‑step setup: enable the API, create templates, assign service account roles, add SanitizeUserPrompt and SanitizeModelResponse policies to Apigee proxies, and review findings in the AI Protection dashboard.

🏆 Google Cloud's Apigee has been named a Leader in the 2025 Gartner Magic Quadrant for API Management and was positioned highest for Ability to Execute. The announcement highlights Apigee's expansion to support generative and agentic AI workloads by acting as an intelligent, secure API proxy that improves governance, security, scalability, and cost control. Key capabilities called out include AI productization, agent-ready API specification boosting (Private Preview), native quota-based token controls and Looker Studio reporting, a centralized API hub with Gemini-driven semantic search, and enhanced security policies including Model Armor and Advanced API Security.