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ExploitGym evaluates AI agents in vulnerability testing

ExploitGym studies whether AI agents can turn vulnerabilities into concrete impacts, such as unauthorized file access or code execution. The research highlights challenges involving program reasoning, adaptation at runtime, and sustained progress.

ExploitGym evaluates whether AI agents can turn vulnerabilities into concrete impacts, including unauthorized file access and code execution. The research offers a way to measure this capability rather than a solution for fixing vulnerabilities.

The challenge involves low-level reasoning about programs, adapting during execution, and making sustained progress on a task. These aspects can help teams think about how to evaluate agents, but the briefing provides no quantitative results or implementation details.

If you use AI to study or apply this work, use isolated, authorized environments, such as purpose-built test systems. Do not submit confidential code, logs, or documents without approval; remove personal data and secrets before sharing materials.

Set the scope, permissions, and stop conditions in advance. Record what was tested and have a technical reviewer validate conclusions: a capability evaluation does not, by itself, prove that a system is safe or that a specific vulnerability can be exploited.

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