[2603.28166] Evaluating Privilege Usage of Agents on Real-World Tools

[2603.28166] Evaluating Privilege Usage of Agents on Real-World Tools

arXiv - AI 3 min read

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Abstract page for arXiv paper 2603.28166: Evaluating Privilege Usage of Agents on Real-World Tools

Computer Science > Cryptography and Security arXiv:2603.28166 (cs) [Submitted on 30 Mar 2026] Title:Evaluating Privilege Usage of Agents on Real-World Tools Authors:Quan Zhang, Lianhang Fu, Lvsi Lian, Gwihwan Go, Yujue Wang, Chijin Zhou, Yu Jiang, Geguang Pu View a PDF of the paper titled Evaluating Privilege Usage of Agents on Real-World Tools, by Quan Zhang and 7 other authors View PDF HTML (experimental) Abstract: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 for analyzing agent privilege usage. GrantBox automatically integrates real-world tools and allows LLM agents to invoke genuine privileges, enabling the evaluation of privilege usage under prompt injection attacks. Our results indicate that while LLMs exhibit basic security awareness and can block some direct attacks, they remain vulnerable to more sophisticated attacks, resulti...

Originally published on March 31, 2026. Curated by AI News.

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