Agent Governance Review — Page 6

Five criteria separate enterprise MCP gateways from proxies that collapse under compliance pressure.

Most AI governance fails because companies treat it as policy, not change management.

Most enterprises lack the controls to govern autonomous agents they're already deploying at scale.

Agentic AI demands governance playbooks, not just scripts.

Four pillars keep autonomous AI agents from breaking your governance before they break your systems.

Most enterprises have no idea how many AI tools their workers actually use.

Enterprises are deploying AI agents faster than they can govern them, creating security gaps.

Stateful connections require metadata discovery before live handshakes to scale.

Security controls that prevent agents from exploiting unprotected MCP servers.

Distinguish runtime blocking from monitoring-only when evaluating AI gateways.

Early governance choices are locking MCP into permanent infrastructure before alternatives emerge.