This guide explains how MCP enables AI agents to connect to tools and data—and why that creates new attack surfaces. Because MCP servers can execute code with user-level permissions, they become a prime target for supply-chain attacks, prompt injections, and data exfiltration. The guide emphasizes securing the entire lifecycle: only using trusted, signed server packages, enforcing strict allowlists, and pinning versions to prevent tampering. It also highlights least-privilege access, separating human and agent roles, and continuously monitoring for abnormal behavior. Additional protections include human-in-the-loop approvals, sandboxing environments, and centralizing control through an MCP gateway for logging, policy enforcement, and threat detection. Overall, the takeaway is that MCP requ

Join for free to read