Jazz, an AI-powered cybersecurity company focused on transforming DLP into an intelligent system capable of understanding how data is used across organisations, has emerged from stealth with new funding of $61m.
The company announced it has secured $61m across Seed and Series A funding rounds. The investment was led by Glilot Capital Partners and Team8, with additional participation from Ten Eleven Ventures (1011vc), Merlin Ventures, Encoded Ventures and MassMutual Ventures, alongside several well-known cybersecurity entrepreneurs.
Jazz is focused on addressing longstanding challenges in the DLP market, a category designed to prevent sensitive corporate information—such as product roadmaps, customer records, financial data and source code—from leaving an organisation through everyday work activities.
Traditional DLP systems rely heavily on rigid rule-based frameworks to flag suspicious activity, but these tools are often criticised for generating large volumes of false alerts and creating operational friction for security teams.
Industry data highlights the scale of the issue. According to the Verizon 2025 Data Breach Investigations Report, human behaviour is linked to roughly 60% of data breaches. These incidents can stem from simple mistakes, social engineering attacks or misuse by insiders.
As a result, many organisations face a difficult choice: operate legacy DLP systems that generate overwhelming alert volumes, or abandon them entirely due to operational complexity, accepting the risk of sensitive data exposure.
Jazz approaches the problem differently by introducing an AI-driven system designed to understand the context behind data activity. Rather than relying on predefined rules for every scenario, the platform deploys an autonomous Agentic Investigator that learns how an organisation’s workflows and business processes operate.
By analysing the context surrounding each event—including the user, the data involved, the system used and the broader business process—the platform aims to distinguish legitimate workflows from genuine security risks.
The newly secured funding will support Jazz’s ambitions to establish itself as a leading platform in the DLP sector. The company plans to use the capital to scale its operations globally, accelerate enterprise adoption and invest further in engineering, research and go-to-market capabilities as it expands its platform.
Early deployments suggest the approach could significantly reduce operational overhead for security teams. In one deployment at a 5,000-employee organisation, Jazz reportedly reduced daily DLP alerts from tens of thousands of low-confidence detections to around ten pre-investigated incidents per day. The platform is already being used in production environments across dozens of organisations, including Lemonade, AlphaSense and CAVA.
Jazz co-founder and CEO Ido Livneh said, “For years, security leaders have been stuck choosing between protecting their data and maintaining their business agility. 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.”
Team8 co-founder and managing partner Liran Grinberg said, “It is rare to see a company achieve this caliber of customer traction and measurable outcomes so early, especially in a category as notoriously difficult as DLP. Jazz didn’t just incrementally improve DLP; they fundamentally solved the friction that has plagued this category for two decades. By replacing brittle rule-writing with deep contextual understanding of intent, they are delivering real risk reduction without slowing the business down. We believe Jazz is defining the inevitable future of data security in the GenAI era.”
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