2026 WINNER · CYBERSECURITY STARS AWARDS
Jazz · AI-Native Data Loss Prevention
Best Data Leakage Prevention (DLP) Platform
Overview
Jazz is the AI-native insider threat and data protection platform that catches what legacy DLP misses — across endpoint, browser, SaaS, and GenAI. Legacy DLP was built for a world of file shares and email attachments. It can't see ChatGPT prompts, can't tell a malicious leaver from a negligent intern, and drowns analysts in 70,000 alerts a week. Jazz replaces regex-on-filenames with behavioral context across user, data, and intent. It baselines every user, surfaces drift, and watches every prompt and paste into the 32+ shadow AI tools employees actually use. Its AI investigator, Melody, turns 30-minute alert triage into 3-minute decisions. One platform, one timeline, one verdict — without the surveillance reputation that gets DLP rollouts killed.
Key Capabilities
Primary use cases:
- GenAI governance — see and shape what flows into ChatGPT, Claude, Gemini, Copilot, and shadow tools without blanket blocking
- Leaver risk — automated tiered monitoring on Day -14 before notice; forensic-quality evidence packs for HR/Legal
- Insider threat investigation — AI-driven 3-minute investigations replacing 30-minute manual triage
- DLP modernization — replace or augment legacy DLP that's drowning the SOC in noise
- Cross-perimeter visibility — collapse endpoint + browser + SaaS + AI into one user timeline
How we are different
Every competitor — including first-wave "AI-powered" DLP tools — still operates within the broken rule-based framework. They applied AI to do better classification or better data lineage, but the fundamental model (machine finds pattern → human investigates context) is unchanged. Jazz replaces that model entirely.
No rules. Ever. The single most differentiating two words in Jazz's vocabulary. You tell Melody what matters in plain English. No regex. No policies to configure. No rules written to get first value. This isn't a feature — it's a philosophical rejection of how every other DLP tool works.
Jazz investigates before it surfaces anything. Competitors generate alerts. Jazz generates pre-investigated incidents. In a typical 30-day deployment: 2M signals go in, fewer than 80 SOC-ready answers come out. A 20,000:1 signal-to-noise ratio. The work of investigation is done by Melody, not by your analysts.
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