Find notable cyber news and cases, enriched with sources, timelines, and signals.
Home Browse News Feed Stats Watchlists Beta About Contact

Jazz launches AI-powered DLP platform with forensic endpoint agent and Agentic Investigator

Security Tool/Service
First reported
Last updated
Happening score
H score 20
1 unique sources, 1 articles

Summary

Hide ▲

Jazz launched a new AI-powered DLP platform that pairs a forensic endpoint agent with an autonomous Agentic Investigator to improve enterprise data-usage visibility and reduce DLP noise. The offering matters because it tries to distinguish legitimate workflows from real risk instead of relying on rigid rules. The company says it is built for large enterprises and is designed to help security teams focus on incidents that matter.

Related Happenings

Jazz emerges from stealth with $61M funding

Commercial Activity
First: 10.03.2026 19:45 Last: 10.03.2026 19:45 Sources 1

How related: Data loss prevention (DLP) startup Jazz on Tuesday emerged from stealth mode with $61 million in combined seed and Series A funding.

About this happening: **Jazz** emerged from stealth with **$61 million** in combined seed and Series A funding to expand its **DLP** business and scale its cybersecurity platform. The Tel Aviv-based st...

Open Happening

Timeline

  1. 10.03.2026 19:45 1 articles · 2mo ago

    Jazz emerges from stealth with $61 million funding

    Initial Disclosure

    Jazz, a Tel Aviv-based DLP startup founded in 2024 by Israeli intelligence veterans, emerged from stealth with $61 million in combined seed and Series A funding led by Glilot Capital Partners and Team8, with additional support from Encoded Ventures, MassMutual Ventures, Merlin Ventures, Ten Eleven Ventures, and angel investors.

    Show sources
    Open in new tab
  2. 10.03.2026 19:45 2 articles · 2mo ago

    Jazz details its forensic endpoint agent and Agentic Investigator

    Technical Analysis Update

    Jazz described an AI-powered DLP platform that uses a forensic endpoint agent for visibility into how data is used and an autonomous Agentic Investigator to learn business processes, analyze the context of users, data, systems, and processes, determine intent, and distinguish legitimate workflows from risk. The company said the approach reduces daily DLP noise for large enterprises and said it is already working with dozens of customers while aiming to scale globally in the enterprise segment.

    Show sources
    Open in new tab