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. 09, 2025

Filed:

Dec. 06, 2023
Applicant:

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

Inventors:

Thomas J. O'Connor, San Francisco, CA (US);

Jon Stofer, Saratoga, CA (US);

William Ye, San Francisco, CA (US);

Jose Moreno, Berkeley, CA (US);

Samuel Joshua Bennett, Midlothian, VA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/20 (2019.01); G06F 11/07 (2006.01); G06F 16/23 (2019.01);
U.S. Cl.
CPC ...
G06F 11/0751 (2013.01); G06F 16/2365 (2019.01);
Abstract

Systems and methods of the present disclosure enable anomaly detection based on data lineage by using at least one processor to receive initial lineage records that record initial changes in data items at each data processor of a lineage stream. The processor(s) generates a historical distribution as a data processor baseline for a particular data processor based on each change in each data item at the particular data processor. For lineage records in a subsequent time period, the processor(s) identifies subsequent changes in data items at the particular data processor and generates a real-time dynamic distribution to represent a current data processor behavior for the particular data processor based on each change for the subsequent lineage records. The processor(s) determines a deviation between the data processor baseline and the current data processor behavior based on the historical distribution and the real-time dynamic distribution to identify a data processor anomaly.


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