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

LLM-based agents are rapidly advancing, autonomously invoking external tools to complete multi-step tasks for users. However, agents often acquire more 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 int

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ethics.ai (5 August 2026), “PrivacyPeek: Auditing What LLM-Based Agents Acquire, Not Just What They Say,” evidence record 17775, https://ethics.ai/record/17775 (originally published by HuggingFace Daily Papers).

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