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:
Jun. 16, 2026

Filed:

Dec. 04, 2024
Applicant:

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

Inventors:

Adam Kristian King, Fort Mill, SC (US);

Clara Fritts, Washington, DC (US);

Brandon Wright, Charlotte, NC (US);

Colleen C. Milazzo, Providence, RI (US);

Lauren Maxwell, Washington, DC (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/57 (2013.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); G06N 3/098 (2023.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); G06N 3/098 (2023.01); G06F 2221/034 (2013.01);
Abstract

Systems and methods for real-time monitoring, adjustment, and safeguarding of generative artificial intelligence ('AI') output. The systems and methods may include a security risk assessment algorithm rules engine (“rules engine”). The rules engine may include logic-based, language-encoded, rules for weighting queries involving security risks and for flagging security risks comprising queries and outputs (“rules”). The systems and methods may include an internal compliance database. The internal compliance database may include flagged queries, flagged outputs, and the rules. The systems and methods may include an adaptive feedback loop mechanism. The systems and methods may include a generative, pre-trained, transformer (“GPT”) processor. The GPT processor may receive a plurality of queries from a plurality of users. The GPT processor may forward the plurality of queries to the rules engine for evaluation. The evaluation may compare the plurality of queries to the flagged queries in the internal compliance database.


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