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Anomaly detection to identify security threats

  • US 10,673,880 B1
  • Filed: 09/26/2016
  • Issued: 06/02/2020
  • Est. Priority Date: 09/26/2016
  • Status: Active Grant
First Claim
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1. A computer-implemented method comprising:

  • processing events associated with an information technology environment using a machine-learning anomaly detection model to generate first anomaly data indicative of a first anomaly detected in the events;

    processing the events using an anomaly detection rule to generate second anomaly data indicative of a second anomaly detected in the events, the anomaly detection rule having been defined by a user;

    inputting the first anomaly data and the second anomaly data into a machine-learning threat indicator model; and

    processing the first anomaly data concurrently with the second anomaly data using the machine-learning threat indicator model to identify a threat indicator associated with a potential security threat to the information technology environment.

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