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:
Dec. 27, 2022

Filed:

Nov. 19, 2021
Applicant:

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

Inventors:

Kadekoppa Kiran Rohithakshappa, Waxhaw, NC (US);

Amit Mishra, Chennai, IN;

Silpa Edappilly Santhosh, Chennai, IN;

Richa Soni, Chennai, IN;

Krithika Viswanathan, Chennai, IN;

Assignee:

BANK OF AMERICA CORPORATION, Charlotte, NC (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 11/36 (2006.01); G06F 9/445 (2018.01); G06F 8/75 (2018.01); G06F 8/30 (2018.01);
U.S. Cl.
CPC ...
G06F 11/3624 (2013.01); G06F 8/30 (2013.01); G06F 8/75 (2013.01); G06F 9/44526 (2013.01); G06F 11/3664 (2013.01); G06F 11/3688 (2013.01); G06N 20/00 (2019.01);
Abstract

Embodiments of the invention are directed to active detection and mitigation of anomalies in program code construction interfaces. The system provides a proactive plug-in with a dynamic machine learning (ML) anomaly detection model cloud component structured to dynamically detect architectural flaws in program code in real-time in a user coding interface. In particular, the system activates a machine learning (ML) anomaly detection plug-in for dynamically analyzing the first technology program code being constructed in the user coding interface. Moreover, the system modifies, via the ML anomaly detection plug-in, the user coding interface to embed interface elements associated with the one or more flaws in the first technology program code detected by the ML anomaly detection model cloud component.


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