AI Data Loss Prevention

IT teams are searching for AI-native approaches to data loss prevention, driven by the rise of shadow AI usage (employees feeding sensitive data into ChatGPT, Copilot, etc.). The intent is purely informational — teams are still learning what AI DLP means and how it differs from traditional DLP tools. The opportunity lies in building a solution that layers AI-specific monitoring on top of existing DLP infrastructure, rather than replacing it entirely.