A two-actor audit trail is a logging pattern that records both the customer on whose behalf an action was taken (the subject) and the AI agent that actually performed it (the actor), rather than collapsing both into a single identity. Traditional audit logs assume one identity equals one actor; agentic activity requires distinguishing the two so an organization can always answer both "whose account was this" and "what actually did it."
Frequently asked questions
Why does a single-identity audit log fall short for agent activity?
It can't distinguish a customer's own action from an action their agent took for them, which matters for both security investigations and disputes.
Does a two-actor audit trail slow down agent transactions?
No, it's a logging pattern applied at the token and event level, not an added authentication step.
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