Sandbox escape detection framework for AI agents: six steps including monitoring, alerting, and red-teaming
blaizedsouza · x · 2026-08-15
This post presents a sandbox escape detection framework for AI agents, emphasizing active detection of escape attempts. The framework includes: monitoring for unexpected network, file, or process activity; detecting attempts to access host resources; alerting and terminating on suspected escape; logging detailed forensic information; regularly testing sandbox boundaries with red-team exercises; and keeping the sandbox surface as small as possible. Core principle: assume the agent will eventually try to break out, detect it early. Pro tip: combine static restrictions with runtime behavioral detection.
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