AI RESEARCH

PrivacyPeek: Auditing What LLM-Based Agents Acquire, Not Just What They Say

arXiv CS.AI

ArXi:2606.00152v1 Announce Type: cross LLM-based agents are rapidly advancing, autonomously invoking external tools to complete multi-step tasks for users. However, agents often acquire sensitive information than the task requires. Existing privacy benchmarks audit what the agent's response or outgoing actions disclose, but overlook the acquisition stage where data first enters the agent's context. The over-acquired information is then one careless action or one attack away from an outright leak. To assess its prevalence, we