A new study reveals that AI research agents frequently leak sensitive data from their internal memory during multi-step tasks. Researchers found that MosaicLeaks benchmarks highlight a critical failure in how agents isolate private information. This vulnerability forces developers to rethink memory management to prevent accidental data exposure in autonomous workflows.