MosaicLeaks: Can your research agent keep a secret?
3.78T1.5 sourceHugging Face Blog
Source record
Published by Hugging Face Blog (T1.5 source). The original is at https://huggingface.co/blog/ServiceNow/mosaicleaks.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryServiceNow introduces MosaicLeaks, a benchmark for measuring how deep research agents leak private information through external web queries. Across tested models, agents frequently leaked private data. Their Privacy-Aware Deep Research (PA-DR) RL training method raised strict chain success from 48.7% to 58.7% while cutting leakage from 34.0% to 9.9%.
Why it mattersFrames the mosaic effect as a concrete failure mode for deployed agents and offers a measurable mitigation. Relevant to anyone building or evaluating deep-research systems handling private data.

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