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Know Your Agent: Reconnaissance-Driven Pentesting of AI Agents

Eliav, Or Zion et al.
arXiv (OAI Expanded) · Papers
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cryptography-and-securitymachine-learning
Traditional pentesting uses reconnaissance at each step to uncover unseen weaknesses, build stronger attacks, and advance the objective; we argue that AI agents require the same treatment. We formalize agent reconnaissance by modeling the process and identifying the knowledge assets it seeks to extr
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