Bridging the AI Governance Gap: Why MCP Proxies Need Approval Layers

As AI agents gain access to external tools through MCP servers, a critical security gap emerges—proxies can route and monitor traffic, but nothing prevents misconfigured agents from executing destructive operations. With 30 CVEs filed against MCP servers in 60 days and 38% lacking basic authentication, industry-standard proxies prove insufficient for governance. MCP proxies equipped with approval layers—combining policy evaluation, human review, and audit trails—are becoming essential for enterprises and regulated sectors seeking to balance AI autonomy with operational safety.