Agent Mosaic: Recognizing Confidentiality Leaks in Agentic LLM Systems
The paper introduces Agent Mosaic, a study of confidentiality leaks in LLM agents, where combining individually accessible pieces of information reveals sensitive conclusions. Evaluations across simulated and live agents show such leaks occur even under benign queries and persist despite explicit safeguards. The source states the benchmark dataset and code are to be provided later.
One primary source; other links are context, not independent corroboration.
- Primary sourceHugging Face Daily Papers
- Discovery linkHugging Face
- Linked in sourceView arXiv page
- Linked in sourceView PDF
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The paper introduces Agent Mosaic, a study of confidentiality leaks in LLM agents, where combining individually accessible pieces of information reveals sensitive conclusions. Evaluations across simulated and live agents show such leaks occur even under benign queries and persist despite explicit safeguards. The source states the benchmark dataset and code are to be provided later.
Key findings from the stored brief
- Confidentiality leaks can arise when individually accessible information is combined to reveal a sensitive conclusion.
- Leaks were observed in evaluations across both simulated and live agents.
- Leaks occurred even under benign queries.
- Leaks persisted despite explicit safeguards.
Source claims not independently checked; the supplied text is a short abstract and the dataset and code are not yet released.
This is a source-based abstract, not independent validation of the source's claims.
Evidence & sources
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The paper page is linked. Peer review and findings have not been independently checked by AINewsIQ.
Timeline & updates
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AINewsIQ prepared one abstract from fetched source page.
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Why this may matter
Agents with access to multiple data sources may disclose sensitive conclusions without any single access being improper, so per-item access controls and explicit prompt safeguards may be insufficient.
Limits and open questions
Source claims not independently checked; the supplied text is a short abstract and the dataset and code are not yet released.
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