Governing AI in the age of agentic systems and Model Context Protocol

Traditional governance models of the past can’t keep up with advanced AI systems. AI systems can now interact with sensitive data and operate across borders and regulatory regimes, and as capabilities advance, so do the security risks.

We’ve entered an era where agentic AI systems can act on behalf of users, alongside the Model Context Protocol (MCP) that standardizes how agents, tools, and models exchange context. As capabilities become more sophisticated, so do the security risks.

Enterprises need a Model Control Plane to enforce policy, security, and observability across these components.

Download this whitepaper to learn why effective AI governance isn’t optional and should be embedded into every layer of your AI operations for faster threat detection and response, greater operational reliability, and stronger regulatory compliance. Discover how the Sumo Logic Intelligent Operations Platform moves teams from reaction to readiness.