Jazz筹集了61M元,以启动AI驱动的DLP平台,切断虚假警报并处理数据安全方面的人为错误。 Jazz raises $61M to launch AI-driven DLP platform, cutting false alerts and tackling human error in data security.

Jazz是一家新的数据安全公司,已经筹集了6 100万美元的资金,用于启动一个AI动力数据损失预防平台,以取代过时的基于规则的系统。 Jazz, a new data security company, has raised $61 million in funding to launch an AI-powered Data Loss Prevention platform that replaces outdated rule-based systems. 平台分析用户行为、数据背景及业务流程, 以识别真实风险, 并减少数千次每日假警报, Using an "Agentic Investigator," the platform analyzes user behavior, data context, and business processes to identify real risks while reducing thousands of daily false alerts to just a handful of high-confidence incidents. 在Lemonade、AlphaSense和CAVA等公司的早期部署显示大幅降低警戒状态,使安保小组能够集中精力应对实际威胁,同时不放慢业务速度。 Early deployments at companies like Lemonade, AlphaSense, and CAVA show dramatic alert reductions, enabling security teams to focus on actual threats without slowing business. Jazz是由81股的老兵和网络安全公司创建的,旨在重新定义DLP,将深层背景分析与AI相结合,以解决人为错误,这是数据破坏的主要原因之一。 Founded by veterans from Unit 81 and cybersecurity firms, Jazz aims to redefine DLP by combining deep contextual analysis with AI to address human error, a leading cause of data breaches.