Method And System For Reviewing Identified Threats For Performing Computer Security Monitoring

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.

主权项

1. A computerized method comprising:
receiving event data associated with network activities by entities that interact with a computer network, wherein types of entities include at least one of devices, applications, and/or network users; identifying instances of potential network compromise automatically determined from the event data, wherein instances include threats and/or anomalies, and the identified instances are associated with at least one entity; automatically determining a score for each entity, wherein the score indicates a risk level based at least in part on the number and/or type of identified instances of potential network compromise associated with the entity; and causing display, in a graphical user interface, of an indication of the score for each of the entities.