Cybersecurity startup Jazz raises $61M to reinvent data loss prevention with AI
Cybersecurity startup Jazz raises $61M to reinvent data loss prevention with AI
https://www.ynetnews.com/business/article/rkafhkttbx
Publish Date: 2026-03-10 09:30:00
Source Domain: www.ynetnews.com
Cybersecurity startup Jazz said Tuesday it has raised $61 million in early-stage funding and emerged from stealth with a platform aimed at rethinking how companies prevent sensitive data from leaking outside their organizations.
The funding — a combination of seed and Series A rounds — was led by Glilot Capital Partners and Team8, with participation from Ten Eleven Ventures, Merlin Ventures, Encoded Ventures and MassMutual Ventures, as well as several cybersecurity entrepreneurs. The company said the investment will help expand its engineering, research and sales operations as it seeks to scale globally and increase adoption among large enterprises.
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Jazz Group team
(Photo: Shai Shachar)
Jazz is developing a new approach to Data Loss Prevention, or DLP — security tools designed to prevent sensitive information such as product plans, source code, customer lists and financial documents from leaving company systems through everyday work activities.
Traditional DLP tools have typically relied on rule-based systems that require security teams to define and maintain policies for thousands of possible scenarios. Those systems are widely criticized in the industry for generating large volumes of alerts and creating operational friction without reliably stopping real risks.
According to Verizon’s 2025 Data Breach Investigations Report, the “human element” — including employee mistakes, social engineering and insider misuse — is involved in about 60% of data breaches.
That leaves many security teams either maintaining legacy DLP systems largely for compliance purposes or avoiding them altogether because of the operational burden, even though the risk of sensitive data exposure remains high.
Jazz says its platform uses artificial intelligence to analyze the context of data activity rather than relying primarily on predefined rules.
The company’s system uses what it calls an “agentic investigator,” software designed to study how an…
