首页>
外国专利>
Network Security Threat Detection by User/User-Entity Behavioral Analysis
Network Security Threat Detection by User/User-Entity Behavioral Analysis
展开▼
机译:通过用户/用户实体行为分析检测网络安全威胁
展开▼
页面导航
摘要
著录项
相似文献
摘要
A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
展开▼