MCP Servers Raise The Stakes For AI Governance

Until now, managing risks related to AI deployment largely meant controlling the content employees typed into a chat box. That era, however, is drawing to a close. AI is quickly transforming from an isolated tool to something interwoven into every corner of an organization’s systems. While commentators have speculated for over a year now about the risks of “agentic AI” operating across enterprise infrastructure, a technology that will enable it, Model Context Protocol (“MCP”) is already here. Before green lighting an MCP integration, it is critical to understand what they are, what purpose they serve, and what mitigating measures are available to address the array of significant risks.

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