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Sandboxing AI agents at the kernel level
Tracing the open syscall to understand how containers conceal files from agents.
When you give an LLM-powered agent access to your filesystem to review or generate code, you're letting a process execute commands based on what a language model tells it to do. While this is powerful and relatively safe when running locally, hosting an agent on a cloud machine opens up a dangerous new attack surface. In this article, we look at file hiding through the lens of the Linux kernel’s open syscall and see why it is a good idea to run agents inside containers.
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