Jazz Emerges from Stealth with $61M to Reinvent Data Loss Prevention Using AI

Jazz Secures $61 Million in Funding to Transform Data Loss Prevention

Jazz, a 15-month-old Israeli startup, emerged from stealth with $61 million in Seed and Series A funding to address one of cybersecurity's most persistent challenges: preventing data loss without overwhelming security teams 1

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. The funding rounds were led by Glilot Capital Partners and Team8, with participation from Ten Eleven Ventures, Merlin Ventures, Encoded Ventures, and MassMutual Ventures. Founded by veterans of Israel Defense Forces' secretive tech-focused Unit 81, including CEO Ido Livneh, the company has already attracted 15 paying customers after just seven months of marketing its AI-powered platform 1

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Replacing Legacy DLP Solutions with AI-Driven Intelligence

For two decades, Data Loss Prevention tools have relied on rigid, rule-based frameworks that force security teams into an impossible choice: accept the operational burden of thousands of false alerts or consciously accept the risk of sensitive data walking out the door. Jazz fundamentally rethinks this approach by deploying an autonomous Agentic Investigator that learns organizational business processes and analyzes the full business context of every event—the user, the data, the system, and the workflow 2

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. "We built an AI agent that investigates, learns your business, data, context, business processes, and can determine if a situation is risky," Livneh explained. "The agent does human work at scale and efficiency that wasn't possible before" 1

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Dramatic Results in Reducing Noisy Alerts

The platform's impact on operational efficiency is striking. In one deployment at a 5,000-employee customer, Jazz reduced daily DLP noise from tens of thousands of low-confidence detections to an average of just ten pre-investigated incidents per day 2

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. This allows security teams to focus on genuine threats rather than sorting through endless false positives. Jazz is already in production at dozens of customer environments, including Lemonade, AlphaSense, and CAVA, demonstrating rapid market adoption for a company still in its early stages 2

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Addressing High-Impact Data Loss Incidents

The timing of Jazz's emergence reflects growing urgency around insider risk and data security. According to Verizon's 2025 Data Breach Investigations Report, the human element is involved in roughly 60% of data breaches—whether through simple mistakes, manipulation, or deliberate misuse by insiders 2

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. Recent high-impact data loss incidents underscore the stakes: a data breach at South Korean ecommerce leader Coupang compromised 34 million people's data and led to the CEO's resignation, while a 2023 incident at Tesla exposed personal information of 75,000 workers 1

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. Employees using AI chatbots inappropriately represent a growing vector for data exposure in the GenAI era.

What This Means for Enterprise Data Security

Jazz's approach matters because it addresses a fundamental tension in modern enterprises: the need to protect sensitive information while maintaining business agility. "For years, security leaders have been stuck choosing between protecting their data and maintaining their business agility," Livneh noted. "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" 2

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. The company's ability to secure more than a dozen paying customers in its first year, in a category as notoriously difficult as DLP, signals that enterprises are ready for a new model. As Liran Grinberg, Co-Founder and managing partner at Team8, observed: "Jazz didn't just incrementally improve DLP; they fundamentally solved the friction that has plagued this category for two decades" 2

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. The funding will enable Jazz to scale globally, expand enterprise adoption, and build the capabilities needed to own the Data Loss Prevention category in the AI era.