Lucia Sato

Governed MCP access eliminates the speed advantage that drives shadow AI adoption.

Practical security controls for AI agents operating without human review.

Authentication and access control gaps in MCP require governance-first vendor evaluation.

Developers are quietly connecting AI agents to production systems without security oversight.

Gartner's new category defines what complete AI governance platforms must actually do.

Rug pulls exploit the MCP protocol's lack of cryptographic signing and re-approval workflows.

Deployment velocity is outpacing governance frameworks designed for static systems.

Companies hiding AI use from leadership face 670k more in breach costs than those with governance.

Most MCP servers expose far more access than agents actually need to complete their tasks.

How MCP's authorization model evolved from nothing to layered OAuth as the protocol scaled.

Enterprises are deploying agentic AI far faster than they're securing what those systems can access.

Most enterprises spend billions on AI without governance, leaving compliance to chance or crisis.

AI agents demand permission controls that adapt mid-workflow, not static rules built for humans.

Enterprises adopted MCP servers without the governance frameworks that should have come first.