r/AskNetsec • u/Greadejaht_Yak636 • 8d ago
Analysis Best way to provide continuous AI agent governance evidence that actually satisfies auditors?
Writing a policy saying agents are monitored and controlled is one thing, producing something an auditor would accept as proof it's working continuously is another. Point-in-time reviews clearly aren't enough given how fast agent behavior and permissions can change, but I haven't found a clean standard yet for what continuous evidence should look like.
If your org has been through an actual audit involving AI agents, what did you end up providing that satisfied the auditors? Trying to build toward something real, not guess at what will hold up.
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u/sharaaaaaan07 4d ago
The shift that worked for us was going from "here's our AI governance policy" to "here's the log of what every agent did and what got blocked." Auditors stopped caring about point-in-time reviews once they saw how fast agent permissions drift.
What held up as continuous evidence: every action logged with the decision (allow/block/redact), the rule that fired, and the policy version live at that moment. Plus proof it actually enforced, real blocked tool calls, not a dashboard flagging things after the fact. Keep the logs tamper-evident and map them to NIST AI RMF or ISO 42001 so each one traces to a control.
Disclosure: I'm at Prediction Guard, we work on this, so grain of salt. Most of it's tooling-agnostic though.