The Emergence of Autonomous Penetration Capabilities in Large Language Model-Powered AI Systems
Nowadays, the autonomous execution of cyberattacks capable of causing substantial real-world harm is widely regarded as one of the critical red lines that frontier AI systems must not cross. Within this broader red-line scenario, autonomous penetration represents a core enabling capability and subtask: the ability of LLM-powered AI systems to independently conduct adversarial operations against a target server without human intervention, identify and exploit vulnerabilities, and obtain unauthorized access or control. A growing body of work has sought to assess the autonomous penetration capabilities of AI systems. However, existing evaluations often employ opaque methodologies, rely on un...
| Authors | Jiaqi Luo, Jiarun Dai, Zhile Chen et al. |
|---|---|
| Primary category | cs.CR |
| Published | 11 June 2026 |
| Last updated at source | 29 June 2026 |
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