MosaicLeaks: Can Your Research Agent Keep a Secret?
Original: MosaicLeaks: Can your research agent keep a secret?
ServiceNow introduces MosaicLeaks, a benchmark probing whether AI research agents inadvertently leak sensitive information.
ServiceNow researchers introduce MosaicLeaks, a benchmark evaluating information-leakage risks in AI-powered research agents. The work asks whether agentic systems—given access to proprietary or sensitive documents—might inadvertently expose confidential content in their outputs. It targets a growing enterprise security concern as agents move from single-turn Q&A into multi-step workflows spanning private knowledge bases.
MosaicLeaks, introduced by ServiceNow researchers in a June 2026 Hugging Face blog post, is a benchmark designed to test a critical but underexplored question in enterprise AI: when you hand a research agent access to sensitive documents, can you trust it not to leak what it reads?
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