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Why AI Agent Logs Fail as Evidence and What Signed Receipts Fix

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As AI agents become more widely deployed, the logs teams rely on for operations fall short when disputes arise, failing key evidentiary standards around integrity, attribution, completeness, and independence. Because logs are mutable files stored on operator-controlled infrastructure, they can be altered without leaving a detectable trace, a concern long flagged by NIST security guidance. The agent generating the log and the system being scrutinised are effectively the same process, meaning a compromised agent can produce a clean record by design. Common mitigations such as centralised logging, append-only storage, and hash chaining improve storage reliability but still require trusting the operator rather than enabling independent verification. Signed execution receipts address this gap by providing cryptographically attributable, externally verifiable records that logs structurally cannot offer.

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Why AI Agent Logs Fail as Evidence and What Signed Receipts Fix · ShortSingh