AI Agent Governance: Evidence Is Not Authority
Read OriginalThis article explores AI agent governance by distinguishing between evidence, approval, and permission to execute. It argues that a shared workspace can coordinate recommendations without granting authority to act. Key practices include preserving provenance, binding approvals to exact operations, rechecking authorization at execution, keeping credentials outside reasoning components, and preventing old approvals from becoming reusable memory. The goal is an execution path that cannot proceed without independently enforced conditions.
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