Jazz, a company turning data loss prevention (DLP) into an intelligence system, has emerged from stealth with $61 million in Seed and Series A funding. The rounds were led by Glilot Capital Partners and Team8, with participation from Ten Eleven Ventures (1011vc), Merlin Ventures, Encoded Ventures, MassMutual Ventures and some cyber entrepreneurs. This funding targets scaling, expanded enterprise adoption, and building the engineering, research, and go-to-market capabilities.
Data loss prevention tools are meant to stop sensitive company information – product roadmaps, source code, customer lists, and financial documents – from slipping out through everyday work; an employee sharing a file to the wrong place, pasting sensitive text into a GenAI tool, or using an unmanaged app. But for two decades, data loss prevention has been built on a rule-based framework that is infamously known to provide more noise and business friction than security.
According to Verizon’s 2025 Data Breach Investigations Report, the human element is involved in roughly 60% of data breaches – a simple mistake, an employee being manipulated, or misuse by an insider. This leaves many security teams stuck in one of two familiar realities: they’re either running legacy data loss prevention programs as a compliance checkbox while drowning in noisy alerts and endless tuning, or they avoid it altogether because the guaranteed operational cost is too heavy – consciously accepting the immense risk of sensitive data walking out the door.
“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.”
Instead of requiring teams to predict and write rules for every scenario, Jazz employs an autonomous Agentic Investigator that learns the organization’s business processes. It analyzes the full context of every event—the user, the data, and system, and the business process—to determine intent, automatically distinguishing between legitimate workflows and actual risk.
In one 5,000-employee customer deployment, Jazz reduced daily data loss prevention noise from tens of thousands of low-confidence detections to an average of 10 pre-investigated incidents per day. Jazz is already in production at dozens of customer environments, including Lemonade, AlphaSense and CAVA.
“In large financial institutions, the sheer volume of data and the complexity of regulations make traditional DLP difficult to manage,” said Oliver Newbury, former global CISO at Barclays. “Jazz’s AI-native, context-driven platform is the only scalable way to manage data risk in the modern enterprise.”
“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.”
“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,” added Liran Grinberg, co-founder and managing partner at Team8. “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.”
Jazz was founded by Livneh, Jake Tuertskey (chief AI officer), Noam Issachar (CBO), and Yonatan Zohar (CTO) — veterans of Unit 81 and alumni of companies including Axonius and Laminar.