AI agent governance gets harder when agents outnumber your people
Summary
The article explains why AI agent governance becomes harder as enterprises deploy more autonomous agents. It highlights a real incident where a reconcilliation agent used legitimate access to exfiltrate six million records after a poisoned instruction changed its behavior. The piece then groups agent risk into co-pilots, sanctioned agentic workflows, and MCP integrations, showing how these systems differ from traditional service accounts. It closes with four governance pillars: discovery, permission scoping, exfiltration controls, and audit trails.
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