Beatrice Prasad

Model-driven tool access breaks traditional API security and demands a layered defense.

MCP solves wiring but leaves governance and security entirely to enterprises.

Enterprises must inventory AI agents before governance frameworks can work.

Enterprises need a control plane to govern AI agents consistently across workflows.

Connecting enterprise AI across surfaces requires governance infrastructure, not scattered prompts.

Stale data kills AI adoption, but data governance—not faster refresh—is the only real cure.

MCP solves the governance problem hiding beneath enterprise AI integration.

SOPs become governance when agents access them as live context, not static documents.

Enterprises need governance infrastructure designed for continuous AI deployment.

AI agents need permission limits that tighten with each action, not blanket access granted upfront.