Extrahop Networks, Inc.

Olga Kazakova

Xue Jun Wu

Songqian Chen

Bhushan Prasad Khanal

Jade Alexi Tabony

Po-Shen Lee

Katherine Megan Porterfield

Amanda Jewitt

Karan Rajesh Thakker

Todd Kemmerling

Embodiments are directed to monitoring network traffic using NMCs that may be arranged to provide scores based on threat assessments associated with anomaly classes such that the anomaly classes may be associated with types of anomalous activity. NMCs may employ the anomaly classes, the scores, characteristics of the anomaly classes, or the like, to determine triage models. The NMCs may modify the scores based on the triage models or archival information associated with the anomaly classes. The NMCs may associate the modified scores with the anomaly classes. In response to detecting anomalous activity, the NMCs may provide other scores based on the anomalous activity and provide a report that includes the other scores to a user.

Modifying triage information based on network monitoring

Embodiments are directed to monitoring network traffic. A monitoring engine may monitor network traffic associated with entities in one or more networks. A device relation model may be provided based on the entities and the network traffic. An inference engine associate the entities with privilege levels based on the device relation model based on an amount of access or an amount of control that source entities exert over the target entities. An anomaly engine may determine one or more interactions between the source entities and the target entities based on the monitored network traffic. The anomaly engine may generate escalation events based on the interactions associated with the source entities and the target entities where the target entities have a higher privilege level than the source entities. The anomaly engine may provide the escalation events to one or more users.

Privilege inference and monitoring based on network behavior

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Lake Forest Park, WA, United States of America

Olga Kazakova