AgentXploit: Autonomous Repository-to-Runtime Red-Teaming for AI Agents
Researchers have introduced AgentXploit, a framework designed to automate the security testing of AI agents by simulating adversarial attacks from the repository level to runtime execution. By identifying vulnerabilities where malicious content can manipulate an agent's file access or API calls, this tool addresses the risks inherent in systems that grant models the ability to execute code and modify software. This approach provides a standardized method for developers to identify security gaps before autonomous agents are deployed in production environments.
Covered by 1 source
- AarXiv CS.AI↗Weida Liang, Shi Qiu, Zhun Wang, Simon Sure, Xiaoyuan Liu, Tianneng Shi, Zhaorun Chen, Wenbo Guo, Dawn Song3d ago