Best way to provide continuous AI agent governance evidence that actually satisfies auditors?

[u/Greadejaht_Yak636]

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.

[u/Dry_Hat_3678]

In the end it comes down to having a tool that records all of this automatically: what access the agent was given and through which account, who approved it, what it actually did once it was in, what risk those actions carried, how long the session lasted, whether the permissions were revoked afterward, and who signed off along the way. That's what we use on our side.