How to Build Structured Audit Logs for AI Agent Credential Access

AI coding agents now operate with broad access to developer credentials, often without a human directly overseeing each action, making accountability harder to trace. Unlike traditional secret access, commands executed by agents obscure attribution and can affect many resources within a single session. Experts recommend structured, append-only JSON logs that capture each credential event — including the key accessed, operation type, invoking context, timestamp, and outcome. Complete logging of every resolution, OAuth lifecycle event, DLP hit, and scrub operation is advised, not just failures, since missing events are themselves meaningful signals. The core principle is that teams should be able to answer 'what happened' through a log query rather than guesswork, especially as agents grow more capable and touch more credentials per session.