Zero Trust Architecture for Decentralized MCP Tool Discovery

This blog warns that decentralized MCP tool discovery gives AI agents a large attack surface—enabling supply‑chain tool poisoning, puppet attacks, prompt injection and data exfiltration—and argues that applying zero‑trust principles (continuous/authentication for non‑human entities, least privilege, parameter‑level controls, microsegmentation), fast policy engines, PEP sidecars for inspection, behavioral baselining, cryptographic signature verification, and post‑quantum discovery/connectivity are required to mitigate these risks and future‑proof AI infrastructures.