Jazz
Jazz is an AI-native Data Loss Prevention platform that utilizes Large Language Models (LLMs) to understand the context and business intent behind data movement. Unlike legacy DLP which relies on rigid regex or static rules, Jazz focuses on "meaning" to identify exfiltration and insider threats across SaaS, web, and endpoint. It aims to eliminate the excessive false positives typically associated with enterprise DLP deployments while protecting sensitive IP.
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The Picari read
Jazz is a cloud DLP product that uses an autonomous investigator to turn raw exfiltration signals into pre-investigated incidents. Its differentiator is context correlation across data, systems, people, and business, making it a fit for teams dealing with SaaS, desktop, and GenAI data leakage paths.
- Organizations struggling with high false positives and limited coverage from traditional DLP solutions, particularly those heavily utilizing SaaS, web, and GenAI applications.
- Preventing intellectual property exfiltration via cloud services
- Detecting and remediating insider threats across endpoints and web
- Securing sensitive data shared through generative AI tools
- Achieving compliance for data movement in hybrid environments
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Jazz pricing and integrations
For Jazz integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.
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Are you from Jazz? Verify this profileProfile last updated on 6 September 2026 by Picari.