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:
Jan. 20, 2026

Filed:

Jun. 23, 2022
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Jennifer Kwok, Brooklyn, NY (US);

Salik Shah, Washington, DC (US);

Mia Rodriguez, Broomfield, CO (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/32 (2013.01); G06F 21/62 (2013.01); G06V 10/82 (2022.01); G06V 40/20 (2022.01); G06V 40/30 (2022.01); G06V 40/50 (2022.01); G06V 40/70 (2022.01);
U.S. Cl.
CPC ...
G06F 21/32 (2013.01); G06F 21/6245 (2013.01); G06V 10/82 (2022.01); G06V 40/20 (2022.01); G06V 40/30 (2022.01); G06V 40/50 (2022.01); G06V 40/70 (2022.01);
Abstract

Disclosed embodiments can pertain to utilizing biometric behavior to prevent inappropriate entry of sensitive information. Current biometric behavior of a user, specific to the user's interaction with an electronic form, can be acquired and compared to benchmark biometric behavior of the user associated with past interaction with the electronic form to create a comparison result. A similarity score based on the comparison result can then be established. It can be inferred that sensitive information was incorrectly entered into the electronic form when the similarity score satisfies a predetermined similarity threshold. The sensitive information can be identified, and a machine learning model can be triggered to generate a risk score based on the similarity score and the identified sensitive information. A user can be prompted to redact incorrectly entered sensitive information when the risk score satisfies a predetermined risk threshold.


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