A new benchmark called MosaicLeaks reveals that AI agents frequently leak sensitive information during multi-step research tasks. Researchers found that agents often expose private data when interacting with external tools or diverse memory stores. This vulnerability creates immediate security risks for enterprises deploying autonomous workflows. Developers must now implement stricter data isolation to prevent these leaks.