Summary

Every day, employees at large enterprises share sensitive files, email customer data, and upload documents to cloud services—activities that are essential to business, but also create constant risk. For more than two decades, security teams have relied on data loss prevention (DLP) software to control that risk. The result has been a paradox: as DLP tools proliferate, security teams spend more time managing alerts than preventing actual data leaks. Traditional DLP platforms depend on thousands of manually authored rules to define what constitutes risky behavior.

AI summaries can be wrong sometimes—always verify important details using the source article.