生活保障启动AI平台,预测并减少混合劳动力中的雇员风险,将数据损失减少98%。 Living Security launches AI platform to predict and reduce employee risk in hybrid workforces, cutting data loss by 98%.

活安全公司推出了一个人工智能原生的人类风险管理平台, Living Security has unveiled an AI-native Human Risk Management platform designed to predict and reduce workforce risk in the age of human-AI collaboration. 该系统利用5年的数据以及200多个行为和身份信号,确定了高风险用户——通常是对大多数风险负责的最高10%——并利用可解释的大赦国际建议有针对性的干预措施。 Using five years of data and over 200 behavioral and identity signals, the system identifies high-risk users—typically the top 10% responsible for most risk—and uses explainable AI to recommend targeted interventions. 它使60%-80%的补救任务自动化,使数据损失暴露率减少98%,使补救时间减少60%。 It automates 60-80% of remediation tasks, cutting data-loss exposure by 98% and reducing remediation time by 60%. 该平台还支持安全的AI代理行为,通过承认积极的安全行动促进信任,并定于2026年1月开始有限的贝塔测试。 The platform also supports secure AI agent behavior, fosters trust by recognizing positive security actions, and is set for limited beta testing starting January 2026. 它得到了Unilever和Mastercard等全球企业的支持,旨在成为保障混合、AI一体化劳动力的新标准。 Backed by global enterprises like Unilever and Mastercard, it aims to become a new standard for securing hybrid, AI-integrated workforces.