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. 06, 2022

Filed:

Sep. 11, 2020
Applicant:

Wells Fargo Bank, N.a., San Francisco, CA (US);

Inventor:

Lawrence T. Belton, Jr., Charlotte, NC (US);

Assignee:

Wells Fargo Bank, N.A., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/24 (2006.01); H04L 41/0823 (2022.01); H04L 67/53 (2022.01); H04L 41/16 (2022.01); H04L 41/08 (2022.01); H04L 41/085 (2022.01); G06N 20/00 (2019.01); H04L 41/0654 (2022.01); H04L 67/00 (2022.01); H04L 12/28 (2006.01); H04L 41/5054 (2022.01); H04L 12/46 (2006.01); H04L 41/0806 (2022.01); H04L 41/0803 (2022.01); H04L 41/04 (2022.01);
U.S. Cl.
CPC ...
H04L 41/0823 (2013.01); G06N 20/00 (2019.01); H04L 12/2814 (2013.01); H04L 12/4675 (2013.01); H04L 41/04 (2013.01); H04L 41/0654 (2013.01); H04L 41/08 (2013.01); H04L 41/0803 (2013.01); H04L 41/085 (2013.01); H04L 41/0806 (2013.01); H04L 41/0876 (2013.01); H04L 41/16 (2013.01); H04L 41/5054 (2013.01); H04L 67/20 (2013.01); H04L 67/34 (2013.01);
Abstract

Intelligent learning and management of networked architectures is disclosed. A network architecture can be mapped to identify a set of interconnected hardware and software elements that comprise the network architecture. Data sources associated with the set of interconnected hardware and software elements can be identified and employed to compile data associated with the elements. The data can be utilized to determine an action to address potential negative effects of a change to the network architecture such as an update or patch. In one instance, the action corresponds to a reconfiguration of at least one of the set of interconnected hardware and software elements. Further, machine learning can be employed to determine a particular configuration. Once determined the action can be implemented on the network architecture.


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