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:
Sep. 23, 2025

Filed:

Mar. 19, 2024
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Hong Min, Hopewell Junction, NY (US);

Sahil Dureja, Calgary, CA;

Venkat K. Balagurusamy, Airmont, NY (US);

Eysha Shirrine Powers, Los Angeles, CA (US);

Cecilia Carranza Lewis, San Jose, CA (US);

Gayathiri Chandran, San Jose, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01); G06F 21/62 (2013.01);
U.S. Cl.
CPC ...
G06F 21/6227 (2013.01); G06F 16/285 (2019.01);
Abstract

A technique of data classification and data protection includes recording, in a lineage repository, dependence relationships between data objects and recording, in a classification repository, data classifications applicable to data objects. The data classifications each indicate a respective class of sensitive data to which data protection is to be applied. Based on receiving a classification job requesting classification of a first data object, a processor determines whether the lineage repository records a dependence relationship with a second data object. Based on determining that the lineage repository records a dependence relationship with the second data object, the processor associates in the classification repository at least a particular data classification applicable to the second data object with the first data object. The processor applies data protection applicable to the particular data classification to the first data object. In some cases, the processor may order application of classification models based on cost metrics.


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