Jazz, a cybersecurity startup focused on transforming DLP into an AI-driven intelligence platform that understands how corporate data is used, has emerged from stealth with new funding of $61m.
The company has raised $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 cybersecurity entrepreneurs.
Jazz is building a platform designed to rethink how organisations manage data loss prevention. Traditional DLP tools are typically built on rigid rules designed to block sensitive information—such as product roadmaps, source code, customer databases or financial documents—from leaving an organisation through routine employee activity. However, these systems have long been criticised for producing excessive alerts and creating operational friction for security teams.
The company’s platform instead aims to interpret how data is used inside organisations. Rather than relying on manually written rules, Jazz’s technology analyses user behaviour, data interactions and business processes to determine whether an action represents legitimate activity or a genuine risk.
The new capital will be used to expand the company globally, accelerate enterprise adoption and build out its engineering, research and go-to-market teams. Jazz also plans to further develop its platform as it seeks to position itself as a leading provider of next-generation DLP technology.
At the core of the platform is what Jazz describes as an autonomous “Agentic Investigator”. This system studies the context of each data-related event—including the user, the information involved, the system being used and the broader business process. By analysing intent and context, the technology aims to separate legitimate workflows from potentially harmful behaviour automatically.
The approach is intended to address long-standing frustrations with traditional DLP tools. According to Verizon’s 2025 Data Breach Investigations Report (DBIR), roughly 60% of data breaches involve a human element, whether through simple mistakes, social engineering attacks or insider misuse. As a result, many organisations either run legacy DLP systems purely for compliance purposes while managing large volumes of alerts, or abandon such systems altogether due to their operational cost.
Jazz claims its approach significantly reduces noise for security teams. In one deployment involving a customer with around 5,000 employees, the company said it reduced daily alerts from tens of thousands of low-confidence detections to around ten pre-investigated incidents per day. The platform is already in use 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.”
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