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:
Apr. 18, 2023

Filed:

Aug. 30, 2021
Applicant:

Kyndryl, Inc., New York, NY (US);

Inventors:

Michael Seth Silverstein, Jacksonville, FL (US);

Martin G. Keen, Cary, NC (US);

Jeremy R. Fox, Georgetown, TX (US);

Zachary A. Silverstein, Georgetown, TX (US);

Assignee:

KYNDRYL, INC., New York, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/9035 (2019.01); G06N 20/00 (2019.01); G06F 16/17 (2019.01); G06F 16/9038 (2019.01); G06F 16/23 (2019.01);
U.S. Cl.
CPC ...
G06F 16/9035 (2019.01); G06F 16/1734 (2019.01); G06F 16/2358 (2019.01); G06F 16/9038 (2019.01); G06N 20/00 (2019.01);
Abstract

A machine learning model repeatedly scans data exhaust for workstations (for which there are retention requirements regarding data exhaust) over a period of time. The machine learning model analyzes the respective data exhaust and the retention requirements to determine respective data exhaust logging parameters for each workstation. The machine learning model monitors respective data exhaust activity for each workstation over a subsequent period of time. An instance is identified in which logging activity of data exhaust for an identified workstation fails the retention requirements. An ameliorative action designed to satisfy the respective retention requirements for the identified workstation is executed.


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