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:
Mar. 17, 2026

Filed:

Jul. 27, 2023
Applicant:

Lacework, Inc., Mountain View, CA (US);

Inventors:

David Nellinger Adamson, Oakland, CA (US);

Ting-Fang Yen, Palo Alto, CA (US);

James Condon, Arvada, CO (US);

Isha Singhal, Milpitas, CA (US);

Andrew D. Twigg, Belmont, CA (US);

Sreedhar Radhakrishnan, Mountain View, CA (US);

Yijou Chen, Cupertino, CA (US);

Assignee:

Fortinet, Inc., Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 9/455 (2018.01); G06F 9/54 (2006.01); G06F 16/901 (2019.01); G06F 16/9038 (2019.01); G06F 16/9535 (2019.01); G06F 16/9537 (2019.01); G06F 21/57 (2013.01); H04L 9/40 (2022.01); H04L 43/045 (2022.01); H04L 43/06 (2022.01); H04L 67/306 (2022.01); H04L 67/50 (2022.01); G06F 16/2455 (2019.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 9/455 (2013.01); G06F 9/545 (2013.01); G06F 16/9024 (2019.01); G06F 16/9038 (2019.01); G06F 16/9535 (2019.01); G06F 16/9537 (2019.01); G06F 21/57 (2013.01); H04L 43/045 (2013.01); H04L 43/06 (2013.01); H04L 63/10 (2013.01); H04L 67/306 (2013.01); H04L 67/535 (2022.05); G06F 16/2456 (2019.01);
Abstract

Data platforms described herein are configured to monitor a compute environment and to use machine learning models for managing security threat alerts for the compute environment. Such a data platform may identify, based on event data indicative of events occurring in the compute environment, a set of detected security threats present within the compute environment. Using a machine learning model trained based on previous event data indicative of events that occurred previously, the data platform may reduce the set of detected security threats to form a subset of prioritized security threats. The data platform may then provide security threat alerts for the compute environment in a manner that emphasizes alerts associated with prioritized security threats over alerts associated with other detected security threats of the set of detected security threats. Corresponding methods, systems, and products are also disclosed.


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