Jazz raises USD $61m to reinvent data loss prevention

Jazz has emerged from stealth with $61 million in seed and Series A funding, positioning its product as an alternative to legacy data loss prevention (DLP) tools.

The round was led by Glilot Capital Partners and Team8, with participation from Ten Eleven Ventures, Merlin Ventures, Encoded Ventures, and MassMutual Ventures, as well as unnamed cybersecurity entrepreneurs.

DLP is designed to prevent sensitive corporate information from leaving an organisation through routine activity. That can include an employee sharing files to the wrong location, copying confidential text into a generative AI tool, or using an unmanaged application.

Many DLP deployments rely on static rules to flag potential policy breaches. Security teams have long criticised these systems for generating large volumes of alerts that require manual triage and tuning.

Jazz is betting that a different approach can reduce false positives and focus analysts on higher-confidence incidents. Its platform analyses data behaviour and produces a smaller number of pre-investigated risks.

AI-led model

At the centre of the product is what Jazz calls an "Agentic Investigator". It is described as an autonomous system that learns an organisation's business processes and uses contextual signals around each event to assess intent and risk.

That context can include the user involved, the data in question, and the system where the event occurs. Jazz says the system can distinguish legitimate workflows from risky activity without requiring teams to write and maintain large sets of rules.

"For years, security leaders have been stuck choosing between protecting their data and maintaining their business agility," said Ido Livneh, Co-founder and CEO of Jazz.

"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," Livneh said.

Jazz also says its architecture combines a forensic endpoint agent with its investigator system. It says the endpoint component provides visibility into activity involving sensitive data, while the investigator produces written explanations rather than raw alerts.

Market context

Security teams are paying closer attention to data movement as generative AI tools enter day-to-day workflows. Many organisations now face new routes for information exposure, including staff interactions with third-party chat tools and browser-based services.

Jazz cited Verizon's 2025 Data Breach Investigations Report, which said the human element is involved in roughly 60% of data breaches, including mistakes, manipulation, and insider misuse.

It argues that these conditions leave organisations choosing between running DLP mainly for compliance, while managing high operational overhead, or reducing DLP coverage and accepting greater exposure.

Oliver Newbury, former Global CISO at Barclays, said traditional approaches struggle in large, regulated organisations.

"In large financial institutions, the sheer volume of data and the complexity of regulations make traditional DLP difficult to manage. Jazz's AI-native, context-driven platform is the only scalable way to manage data risk in the modern enterprise," Newbury said.

Early deployments

Jazz says its platform is already running in production across dozens of customer environments. Its named customers include Lemonade, AlphaSense, and CAVA.

It also shared performance results from a 5,000-employee deployment, saying the system reduced daily DLP noise from tens of thousands of low-confidence detections to an average of 10 pre-investigated incidents per day.

Investors framed the shift as a rebuild of a mature category. "For more than 20 years, DLP has forced security teams into an unfair tradeoff: accept the risk, or accept the operational pain," said Kobi Samboursky, Co-founder and Managing Partner at Glilot Capital Partners.

"Jazz stands out because it leverages AI to rethink and rebuild the category from first principles. The team's pace, earning more than a dozen paying customers in its first year, is proof the market has been waiting for this," Samboursky said.

Liran Grinberg, Co-founder and Managing Partner at Team8, pointed to early commercial uptake and the company's focus on context.

"It is rare to see a company achieve this calibre of customer traction and measurable outcomes so early, especially in a category as notoriously difficult as DLP," Grinberg said.

"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," he added.

Company background

Jazz was founded by Ido Livneh, Chief AI Officer, Jake Tuertskey, Chief Business Officer, Noam Issachar, and Chief Technology Officer Yonatan Zohar. The founders are veterans of Unit 81 and have worked at Axonius and Laminar.

With the new funding, Jazz said it plans to expand globally, drive broader enterprise adoption, and invest further in product and research across engineering and go-to-market functions.