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Paper · arXiv

Evaluating Privilege Usage of Agents with Real-World Tools

Equipping LLM agents with real-world tools can substantially improve productivity. However, granting agents autonomy over tool use also transfers the associated privileges to both the agent and the underlying LLM. Improper privilege usage may lead to serious consequences, including information leakage and infrastructure damage. While several benchmarks have been built to study agents' security, they often rely on pre-coded tools and restricted interaction patterns. Such crafted environments differ substantially from the real-world, making it hard to assess agents' security capabilities in critical privilege control and usage. Therefore, we propose GrantBox, a security evaluation sandbox f...

AuthorsQuan Zhang, Lianhang Fu, Lvsi Lian et al.
Primary categorycs.CR
Published30 March 2026
Last updated at source20 April 2026
cs.CRcs.AI
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