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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.

Patent No.:

US 12726495 B1

PDFFull Text
Date of Patent:
Sep. 01, 2026

Filed:

Jan. 02, 2024

Machine learning-enabled clustering of entities in a monitored deployment

Applicant:

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

Inventors:

Pamela Bhattacharya, Redmond, WA (US);

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

Yijou Chen, Cupertino, CA (US);

Assignee:

FORTINET, INC., Sunnyvale, CA (US);

Attorney:

Jaffery Watson Hamilton & DeSanctis LLP

Primary Examiner:

Mahfuzur Rahman

Int. Cl.
CPC ...
H04L 29/06 (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

Machine learning-enabled clustering of entities in a monitored deployment, including: receiving a graph structure describing activity within a cloud deployment; generating, for each node of a plurality of nodes of the graph structure, a corresponding vector embedding by providing each node to a trained model configured to generate the corresponding vector embedding; and generating a clustered embedding space by applying a clustering algorithm to the corresponding vector embedding for each node of the plurality of nodes.

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Quick Actions:

Bhattacharya, Pamela. (2026). Machine learning-enabled clustering of entities in a monitored deployment (U.S. Patent No. 12726495). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12726495

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