Jazz

Jazz is a data loss prevention (DLP) company that helps security teams protect sensitive information while keeping business operations moving. Its AI-native platform is designed to understand an organization’s data, systems, people, and business context, rather than rely on extensive rule-writing and alert triage. Jazz monitors activity across applications and user actions, investigates signals at their source, and presents analysts with context-rich findings and suggested policy improvements.

The platform includes detection, investigation, risk insights, and precise prevention capabilities. Its agentic investigator, Melody, analyzes events and helps manage and optimize DLP programs, while contextual controls can nudge users, request justifications, or block activity when appropriate. Jazz also emphasizes privacy, offering granular control over what is monitored, investigated, retained, and shown to analysts.

The company positions its solution as a simpler alternative to legacy DLP, aiming to reduce false positives, address visibility gaps—including activity involving GenAI and shadow applications—and prevent data loss without unnecessarily disrupting legitimate work. Jazz offers product demonstrations and educational resources through its website.