As AI copilots, large language models, and autonomous agents become embedded in enterprise workflows, traditional cybersecurity frameworks are struggling to keep pace. In response to this rapidly evolving landscape, Jazz has announced a $43 million Series A round led by Glilot Capital Partners and Team8, with participation from Ten Eleven Ventures, MassMutual, Merlin Ventures, and several leading cyber and AI entrepreneurs.
This latest raise brings Jazz’s total funding to $61 million, achieved just about a year after the company’s founding, highlighting strong investor confidence in one of cybersecurity’s fastest-growing challenges: data leakage in the AI era.
As organizations rapidly adopt AI-powered tools across workflows, the way sensitive data moves through businesses has fundamentally changed. Employees now interact with data across copilots, AI assistants, cloud applications, and autonomous systems, creating new exposure points that legacy security systems were never designed to handle.
Traditional Data Loss Prevention (DLP) solutions were built for a pre-AI world. These systems typically rely on rigid rules, static policies, and predefined workflows. While effective in older environments, they struggle to keep pace with the complexity and speed of today’s AI-first infrastructure.
Jazz is addressing this challenge head-on. Led by CEO Ido Livneh and a founding team with backgrounds in elite Israeli cyber units and companies such as Axonius and Laminar, Jazz is building a next-generation platform designed to understand how data truly moves within an organization.
The timing could not be more critical. As AI adoption accelerates, data security has become a board-level priority for CISOs and enterprise leadership teams. Sensitive information is now being shared, queried, summarized, and transferred through AI-driven interfaces at unprecedented speed.
According to industry insights referenced by the Jazz team, the human factor contributes to nearly 60% of data leakage incidents. Whether through accidental sharing, misuse of AI tools, or poor visibility into data pathways, the risk surface continues to expand.
This is exactly where innovation is needed. The future of DLP is no longer about blocking files based on keywords alone. It requires intelligent systems capable of understanding context, behavior, intent, and movement across increasingly decentralized digital ecosystems.
Jazz’s vision positions the company at the center of this transformation.
What makes Jazz particularly compelling is that it is not retrofitting AI into an old framework. Instead, the company is being built AI-first from day one, which gives it a significant advantage over legacy vendors trying to modernize existing products.
This architectural foundation enables Jazz to design systems specifically for the realities of AI-era enterprise environments, where data flows continuously across humans, machines, and autonomous agents. For CISOs, this represents a shift from reactive prevention to proactive intelligence-led data protection.
From the perspective of enterprise security leaders, this category is only expected to grow in importance. Across thousands of conversations between cybersecurity startups and Fortune 1000 CISOs facilitated through Execweb, one trend is increasingly clear:
AI-driven data security is rapidly moving to the top of strategic cybersecurity agendas.
Jazz’s $43M Series A is more than a fundraising milestone; it is a strong signal that the market recognizes the urgent need for modern DLP innovation.
With elite cyber expertise, strong investor backing, and a platform purpose-built for AI-native environments, Jazz is well-positioned to help define the next generation of enterprise data security.
As organizations continue to integrate AI deeper into their operations, solutions like Jazz will play a critical role in ensuring innovation does not come at the cost of security.
Execweb congratulates Jazz on this significant milestone. The company’s vision reflects where cybersecurity is headed next: intelligent, adaptive, and built for an AI-first future.
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