AI RESEARCH
Evaluating Privilege Usage of Agents on Real-World Tools
arXiv CS.AI
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ArXi:2603.28166v1 Announce Type: cross 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.