Fortinet, Inc.

Andrew D Twigg

Yijou Chen

Isha Singhal

Ting-Fang Yen

David Nellinger Adamson

Sowmya A Karmali

Data platforms described herein are configured to monitor a compute environment and facilitate interactive analysis of multifaceted security threats within the compute environment. Such a data platform may determine that one or more assets within the compute environment are possibly being targeted by a multifaceted security threat and present an interactive user interface. The user interface may be configured to display an identifier indicative of the multifaceted security threat, a set of selectable evidence items each associated with a different facet of the multifaceted security threat and assessed based on the monitoring of the compute environment, and a presentation pane for displaying information. As such, the data platform may detect a selection of a particular evidence item from the set of selectable evidence items and, in response to the selection, populate the presentation pane with information related to the particular evidence item. Corresponding methods, systems, and products are also disclosed.

Interactive analysis of multifaceted security threats within a compute environment

Data platforms described herein are configured to monitor a compute environment and to create and present composite events indicative of multifaceted security threats within the compute environment. Such a data platform may detect both a first event that occurs within the compute environment and is associated with a first alert score and a second event that occurs within the compute environment and is associated with a second alert score. The data platform may then identify an affiliation between the first event and the second event based on a predefined criteria of a multifaceted security threat. Based on the identifying of the affiliation, the data platform may present the first and second events as a composite event indicative of the multifaceted security threat and associated with a third alert score different from the first and second alert scores. Corresponding methods, systems, and products are also disclosed.

Composite events indicative of multifaceted security threats within a compute environment

Time series anomaly detection, including: gathering data associated with a particular event type and a particular user; generating, based on the data, a time series analysis; detecting an anomaly based on the time series analysis; and generating information describing the anomaly.

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Belmont, CA, United States of America

Andrew D Twigg