The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 09, 2025

Filed:

Mar. 10, 2022
Applicant:

C3.ai, Inc., Redwood City, CA (US);

Inventors:

Thomas M. Siebel, Woodside, CA (US);

Aaron W. Brown, Chicago, IL (US);

Varun Badrinath Krishna, Redwood City, CA (US);

Nikhil Krishnan, San Carlos, CA (US);

Ansh J. Hirani, New York City, NY (US);

Assignee:

C3.ai, Inc., Redwood City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06N 20/00 (2019.01); H04L 63/1441 (2013.01);
Abstract

A method includes obtaining data associated with operation of a monitored system. The method also includes using one or more first machine learning models to identify anomalies in the monitored system based on the obtained data, where each anomaly identifies an anomalous behavior. The method further includes using one or more second machine learning models to classify each of at least some of the identified anomalies into one of multiple classifications. Different ones of the classifications are associated with different types of cyberthreats to the monitored system, and the identified anomalies are classified based on risk scores determined using the one or more second machine learning models. In addition, the method includes identifying, for each of at least some of the anomalies, one or more actions to be performed in order to counteract the cyberthreat associated with the anomaly.


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