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Learn how to audit AI agents with identity-based logging, LLM request tracking, data controls, tool authorization, and pre-request security policies.
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AI agents can make dozens of LLM and tool calls during a single task, creating a visibility problem for enterprises. This article explains how Aperture uses identity-based routing, session tracking, request and response logging, access controls, tool authorization, PII filtering, and spending quotas to make agent activity auditable. The goal is to give security teams a clear record of who accessed what, where data went, what was blocked, and who accessed the resulting logs.