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How to audit what your AI agents are accessing

How to audit what your AI agents are accessing

Published 1 week, 2 days ago
Description

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-audit-what-your-ai-agents-are-accessing.
Learn how to audit AI agents with identity-based logging, LLM request tracking, data controls, tool authorization, and pre-request security policies.
Check more stories related to undefined at: https://hackernoon.com/c/undefined. You can also check exclusive content about #ai-agent-security, #ai-agent-observability, #llm-request-auditing, #ai-gateway-security, #llm-data-governance, #ai-tool-call-authorization, #ai-agent-activity-logging, #good-company, and more.

This story was written by: @tailscale-ad. Learn more about this writer by checking @tailscale-ad's about page, and for more stories, please visit hackernoon.com.

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.

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