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:
Nov. 04, 2025

Filed:

Jan. 12, 2024
Applicant:

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

Inventors:

Chirag P. Pandya, Sammamish, WA (US);

Alex Ramachandran Nirmala, Cupertino, CA (US);

Anil K. Nanduri, San Jose, CA (US);

Amit Bapat, Seattle, WA (US);

Srivenkatesh Kumar Vaithianathan, Dublin, CA (US);

Connor A Brooks, Redwood City, CA (US);

Yijou Chen, Cupertino, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/901 (2019.01); G06F 9/455 (2018.01); G06F 9/54 (2006.01); G06F 16/2455 (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);
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

An illustrative method includes receiving, by a data platform configured to monitor the compute environment, runtime workload data collected by an agent deployed to the compute environment, wherein the runtime workload data comprises user space data collected from a user space of the compute environment and kernel space data collected from a kernel space of the compute environment. The method further includes performing, by the data platform, a monitoring operation based on the user space data and the kernel space data of the runtime workload data.


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