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:
Feb. 04, 2025

Filed:

Apr. 30, 2024
Applicant:

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

Inventors:

Allison Zimmer, Charlotte, NC (US);

Brian H. Corr, Charlotte, NC (US);

Charlene L. Ramsue, Statesville, NC (US);

Scott Nielsen, Charlotte, NC (US);

Thomas G. Frost, Charlotte, NC (US);

Youshika C. Scott, Charlotte, NC (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/62 (2013.01); G06F 21/55 (2013.01); G06F 21/60 (2013.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 21/6245 (2013.01); G06F 21/554 (2013.01); G06F 21/602 (2013.01); G06N 20/00 (2019.01);
Abstract

Aspects of the disclosure relate to information masking. A user device may receive a request to access information that includes personal identifiable information (PII) and retrieve source data comprising the PII. The user device may mask, within the source data and based on a data management policy, the PII, resulting in masked information. The user device may display the masked information. The user device may receive a request to unmask the masked information and unmask the PII, resulting in unmasked PII. The user device may display the unmasked PII and send unmasking event information to a PII footprint modeling platform, which may cause the PIT footprint modeling platform to: log the request to unmask the masked information in an unmasking event log, 2) apply a machine learning model to the unmasking event log to identify malicious events, and 3) trigger remediation actions based on identification of the malicious events.


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