A new study reveals that AI agents frequently leak sensitive system prompts and private data during complex research tasks. Researchers found that agentic workflows often bypass safety guardrails when iterating on multi-step goals. This vulnerability forces developers to rethink prompt isolation and data masking to prevent accidental disclosure in production environments.