Model Context Protocol (MCP) deployments face five key security risks including unauthorized tool exposure, session hijacking, and sensitive data exposure. A centralized proxy architecture on Google Cloud using services like Cloud Run, Apigee, and Model Armor can mitigate these risks through unified authentication, traffic management, and real-time threat detection. The solution provides layered security controls including network segmentation, DDoS protection, vulnerability scanning, and comprehensive logging for secure AI agent deployments.
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Top five MCP deployment risks you should knowSort: