Auditing Agent Harness Safety · DeepSignal
Auditing Agent Harness Safety arXiv cs.CL · Chengzhi Liu, Yichen Guo, Yepeng Liu, Yuzhe Yang, Qianqi Yan, Xuandong Zhao, Wenyue Hua, Sheng Liu, Sharon Li, Yuheng Bu, Xin Eric Wang 2d ago · ~2 min· 5/15/2026· en· 3HarnessAudit framework evaluates safety in LLM agent execution, revealing risks in multi-agent systems.
Key Points HarnessAudit audits execution trajectories for safety compliance. Safety risks increase with trajectory length and vary by domain. Multi-agent collaboration heightens safety risks significantly. Reader Mode unavailable (could not extract clean content).
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Why Featured
The HarnessAudit framework's evaluation of LLM agent safety highlights critical risks in multi-agent systems, guiding developers, PMs, and investors in building safer AI applications.