Integrating MCP Governance with Existing IAM Systems
AI agents need the same access controls that already govern your employees.
AI agents need the same access controls that already govern your employees.
Five interlocking criteria separate enterprise MCP gateways from security theater.
Most companies have AI governance policies on paper but fail to actually operate them day to day.
Most enterprises lack the controls to govern AI agents safely in production right now.
Governance frameworks that let agentic AI respond faster without losing audit trails.
How to build identity, access control, and observability before agents go live.
Most enterprises can't see the AI tools their workers use, let alone control them.
Most enterprises are already running ungoverned AI agents they don't know exist.
Stateful connections and transport fragmentation make MCP discovery harder than REST.
Security controls must run through the gateway, not just traffic.
Centralized control stops agents from accessing what they shouldn't, not just logging what they did.
Early choices in MCP governance are now too costly to reverse.