Jazz Security
AI-native, context-aware DLP platform designed to reduce alert noise.

Jazz Security
AI-native, context-aware DLP platform designed to reduce alert noise.
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Jazz Security Description
Jazz Security is a cybersecurity company focused on data loss prevention (DLP), offering an AI-native platform designed to replace traditional rule-based DLP systems. The company positions its product as a context-aware alternative to conventional DLP tools, which have historically relied on pattern-matching rules that generate high volumes of alerts requiring manual investigation. The Jazz platform is built around understanding the business context behind data movement events, enabling it to differentiate between genuine data security threats and benign activity. The goal is to reduce alert noise and allow security teams — potentially as small as a single operator — to manage an enterprise-grade DLP program without the scaling challenges associated with legacy tools. Key aspects of the Jazz approach include: - AI-native architecture rather than rule-based frameworks - Business context awareness to assess the intent and risk of data movement - Insider risk management as a core use case - Designed for cloud-first enterprise environments The company's target market includes enterprise organizations, particularly those in regulated industries such as financial services, where managing data risk and compliance at scale is a significant operational challenge. Jazz Security was founded by a team that includes a CEO (Ido Livneh), a Chief AI Officer (Jake Turetsky), a CTO (Yonatan Zohar), and a Chief Business Officer (Noam Issachar). The company is backed by investors including Glilot Capital, Ten Eleven Ventures, Merlin Ventures, Encoded Ventures, and MassMutual. Job listings are hosted via Comeet, a platform commonly used by Israeli tech companies, and the leadership names suggest Israeli origins.
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