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Connecting AI assistants to internal systems through MCP creates security boundaries that need managing, says author Amir Pournasserian in a governance checklist for CTOs.
Why it mattersHis practical recommendations include choosing hosts carefully, keeping servers versioned, separating read and write permissions, and selecting suitable identity controls. He also flags risks including tool poisoning, prompt injection through outputs and unmonitored local servers. For teams connecting AI tools to company systems, the useful point is that access rules belong in the design, not in a tidy-up afterwards.
Discuss: Should organisations make separate read and write permissions mandatory for MCP tools, or is that too much friction?
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