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:
Aug. 27, 2024

Filed:

Jun. 16, 2023
Applicant:

Wells Fargo Bank, N.a., San Francisco, CA (US);

Inventors:

Pierre Arbajian, Matthews, NC (US);

Michael Erik Meinholz, Charlotte, NC (US);

Andrew J. Garner, IV, State Road, NC (US);

Assignee:

Wells Fargo Bank, N.A., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/04 (2023.01); H04L 9/08 (2006.01); H04L 9/30 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/04 (2013.01); H04L 9/0852 (2013.01); H04L 9/0891 (2013.01); H04L 9/3013 (2013.01); H04L 9/302 (2013.01);
Abstract

Systems, apparatuses, methods, and computer program products are disclosed for post-quantum cryptography (PQC). An example method includes receiving data. The example method further includes receiving a set of data attributes about the data. The set of data attributes comprises one or more sets of data environment data attributes that are each representative of a set of data environments associated with the data. The example method further includes receiving one or more sets of data environment threat data structures associated with one or more data environments in the one or more sets of data environments associated with the data. The example method further includes selecting one or more cryptographic techniques for encrypting the data for at least the one or more data environments based on the set of data attributes, the one or more sets of data environment threat data structures, and a cryptograph optimization machine learning model.


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