2026 WINNER · CYBERSECURITY STARS AWARDS
Jazz · AI-Native Data Loss Prevention
Best Data Leakage Prevention (DLP) Platform
Overview
Jazz is the world's first Agentic DLP Investigator, a fundamental framework shift that finally fixes what twenty years of DLP has failed to solve. The flaw has always been the same: machines match patterns, humans add context. That model drowns security teams in noise while real leaks, through shadow GenAI tools, personal apps, and channels no rule ever anticipated, go completely undetected. Next-gen DLP sprinkled AI on the same broken foundation. It didn't work either. Melody, Jazz's AI investigator, doesn't match or triage. She investigates across data, systems, people, and business processes, delivering pre-investigated answers, not alerts. A DLP that actually works.
Key Capabilities
PRIMARY USE CASES
- GenAI Data Risk: understand what's flowing into ChatGPT, Claude, Gemini, Copilot, and shadow tools your policies haven't caught up to, with full context on intent, not just content, so you act on real risk instead of volume.
- Leaver Risk: the risk peaks the moment someone knows a departure is coming. Because Melody is always investigating data flows, Jazz catches exfiltration in real time, before data walks out. When HR needs evidence, it's already there.
- DLP Modernization and Fast Start: replace or augment a legacy DLP program turned into compliance theater, or start from scratch. Jazz deploys in days, with no tuning period. Melody understands your organization from day one.
- Shadow IT and SaaS Sprawl: employees move sensitive data through apps your team has never approved. Jazz surfaces exactly what's flowing where, fully contextualized, so you can make informed decisions instead of discovering the exposure in a breach debrief.
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.
A signal layer no DLP has ever had. Jazz built Endpoint Context Vaults, patent-pending technology capturing an entirely new class of signals: GenAI prompts, desktop app activity, Shadow IT use, agentic data connections. Different raw material that makes genuine investigation possible.
No rules. Ever. You tell Melody what matters in plain English. No regex. No policies to configure. No rules to get first value. A philosophical rejection of how every other DLP tool works.
Jazz investigates before it surfaces anything. 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 your analysts.
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