使用实时行为分析预测和阻止人为错误的网络风险的 生命安全专利AI系统。 Living Security patents AI system that predicts and stops cyber risks from human error using real-time behavior analysis.

生活保障为其AI驱动的人类风险管理系统获得了美国专利,该系统利用身份、行为和威胁数据生成实时风险分数并启动自动安全应对。 Living Security has obtained a U.S. patent for its AI-driven Human Risk Management system, which uses identity, behavior, and threat data to generate real-time risk scores and trigger automated security responses. 该技术旨在预测和预防人为错误造成的网络事件,依靠概率和因果的人工智能模型来逐步提高准确度。 The technology, designed to predict and prevent cyber incidents caused by human error, relies on probabilistic and causal AI models to improve accuracy over time. 与传统的以培训为重点的方法不同的是,它能够进行持续的监测和主动干预。 Unlike traditional training-focused methods, it enables continuous monitoring and proactive interventions. 该专利加强了生活保障在Forrester Research承认的新兴HRM空间中的领导作用,并支持即将在HRMCon 2025年推出的平台升级。 The patent strengthens Living Security’s leadership in the emerging HRM space, recognized by Forrester Research, and supports upcoming platform upgrades set for release at HRMCon 2025.