How to audit what your AI agents are accessing

Have you ever asked an LLM in chat what seemed like a simple question, then watched as it reinvented fire, the wheel, and quantum physics to tell you how far Scotiabank Arena is from the Toronto airport?

AI agents, like Claude Code, Codex, OpenCode, and OpenClaw, can do that, too. But their users explicitly encourage them to dig deep. Agents can make dozens of LLM requests per task, invoke tools, and pass data to one or more providers. So who sent what data to which model, and where is it logged?

If you’re using Aperture, you can see, store, and control access to this data.

Here’s how Aperture works to help you audit what your AI agents are accessing, who’s managing them, and where it’s all logged.

Administration panel showing Grants management interface with a search bar and Add grant button. A table displays four access grant entries with...

Copyright of this story solely belongs to hackernoon.com. To see the full text click HERE