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Enterprise MCP Deployments Face Security Gaps in Access Control and Audit Logging

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The Model Context Protocol (MCP) standardizes how AI agents connect to external tools and data sources, but it was designed for connectivity, not governance. By default, MCP implementations rely on a single service account, meaning every agent call inherits the full permissions of that account regardless of who initiated the request. This creates serious compliance risks for organizations handling regulated data under frameworks such as HIPAA, GDPR, or SOX, and is a common reason enterprise MCP rollouts stall during security review. Experts identify six critical controls missing from the base protocol: user-level authentication, per-operation access control, attribution-level audit logging, path and scope limits, rate limiting, and data sensitivity evaluation. Organizations can address these gaps either by building controls directly into each MCP server or by deploying an MCP gateway that enforces unified policy and logging across all agent traffic.

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