Splunk Inc.
Feature vector based anomaly detection in an information technology environment

Last updated:

Abstract:

An anomaly detection system is able to detect spatial and temporal environment anomalies and spatial and temporal behavior anomalies, and monitor servers for anomalous characteristics of the environment and behavior. If metrics and/or characteristics associated with a given server are beyond a certain threshold, and alert is generated. Among other options, the alert can take the form of a heat map or a cluster cohesiveness report.

Status:
Grant
Type:

Utility

Filling date:

5 Sep 2018

Issue date:

4 Feb 2020