MCP Meets Governance: Safely and Securely Connect Your AI Agents to Data

AI agents are ready to work with enterprise data. The harder question is whether that data is ready for AI agents. The Model Context Protocol (MCP) makes it simple to connect an AI assistant to the systems a team relies on, and that simplicity is exactly what makes security, privacy, and compliance teams nervous. Who is asking? What are they allowed to see? Which records should never reach a model at all?

In this webinar, see how FME turns MCP from an open door into a governed gateway. Every tool an agent can call becomes a workflow the organization designs, controls, and monitors, so the rules travel with the data.

Join us to learn how to:

• Expose FME Flow workflows as MCP tools that only do what you intend
• Verify who is making a request and return only the data they’re permitted to see
• Run FME and MCP workflows on a cloud stack that respects your data sovereignty, wherever that data lives.
• Securely connect to hard to reach data and systems without losing governance

Walk away with a practical workflow for saying yes to AI agents without losing control of the data behind them.