DETECTION OF ANOMALIES, THREAT INDICATORS, AND THREATS TO NETWORK SECURITY

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 method comprising:
detecting, by a computer system, anomalies in activity on a computer network, based on received event data associated with the activity; generating, by the computer system, anomaly data indicative of the anomalies in response to said detecting; identifying, by the computer system, threat indicators by processing the anomaly data; generating, by the computer system, threat indicator data indicative of the threat indicators in response to said identifying; and identifying, by the computer system, the security threat to the computer network by processing the threat indicator data.