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:
Jul. 07, 2026

Filed:

May. 13, 2024
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

Pushkar Taneja, Hyderabad, IN;

Sujatha Ambati, Hyderabad, IN;

Shailendra Singh, Thane West, IN;

Suryanarayana Adivi, Hyderabad, IN;

Assignee:

Bank of America Corporation, Charlotte, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/57 (2013.01); G06F 11/3604 (2025.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06F 11/3604 (2013.01);
Abstract

A system includes a memory configured to store a set of application environment parameters associated with a software application of a plurality of software applications. The system further includes processors for accessing the set of application environment parameters associated with the software application, identifying, based on the set of application environment parameters, a plurality of potential threats and vulnerabilities associated with an execution of the software application in accordance with the current configuration, and executing one or more generative machine-learning models trained to generate a prediction of one or more cyber threat scenarios based on the set of application environment parameters and the plurality of potential threats and vulnerabilities. The prediction of the one or more cyber threat scenarios includes cyber threat scenarios specific to the software application. The processors further output, by the one or more generative machine-learning models, the prediction of the one or more cyber threat scenarios.


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