How should enterprises govern AI agents using MCP? #4631
ChristopherTHyatt
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As AI systems adopt the Model Context Protocol (MCP), agents can call tools, pull data, and automate workflows in real time. This flexibility also increases the risk of prompt injection, data leakage, and misuse.
In our paper, we introduce zMCP — a Zero-Trust Governance Layer for MCP. It ensures each AI request is authenticated, policy-checked, auditable, and continuously monitored.
📖 Read here: zMCP: A Zero-Trust Extension of the Model Context Protocol for Data Governance
What governance approaches do you think are most critical for MCP adoption at enterprise scale?
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