"Traditional DLP was built on rigid rules that don't understand how modern work actually happens, which leaves teams drowning in noise while real risks slip through. Jazz changes that by deeply understanding intent and context in every incident, finally delivering meaningful risk reduction without slowing the business down."
"Jazz is transforming DLP into a system that understands data usage and explains intent, context, and risk. The startup uses a forensic endpoint agent for visibility into how data is used and relies on an autonomous Agentic Investigator to learn business processes, analyze the context of users, data, systems, and processes to determine intent, and distinguish between legitimate workflows and risks."
Jazz, a Tel Aviv-based data loss prevention startup founded in 2024 by Israeli intelligence veterans, emerged from stealth with $61 million in combined seed and Series A funding led by Glilot Capital Partners and Team8. The company uses a forensic endpoint agent and autonomous Agentic Investigator to understand data usage, analyze user context and business processes, and distinguish legitimate workflows from risks. This approach significantly reduces false positives that plague traditional DLP systems, enabling security teams to focus on genuine threats. Already serving dozens of customers, Jazz plans to expand its engineering, research, and go-to-market teams globally within the enterprise segment.
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