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:
Jul. 14, 2026

Filed:

May. 16, 2023
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Martin Taillefer, Redmond, WA (US);

Rafal Mzyk, Kluczbork, PL;

Andrey Noskov, Prague, CZ;

Ján Guttek, Prague, CZ;

Scott Allen Thurlow, Bellevue, WA (US);

Stephen Toub, Winchester, MA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/62 (2013.01); G06F 21/56 (2013.01); G06F 40/169 (2020.01);
U.S. Cl.
CPC ...
G06F 21/6218 (2013.01); G06F 21/563 (2013.01); G06F 40/169 (2020.01);
Abstract

A taxonomy-agnostic data protection framework includes a plugged-in data classification taxonomy definition having a taxonomy identifier and a set of data classification indicators. The taxonomy-agnostic data protection framework also includes a plugged-in set of data classification processing routines, and a plugged-in mapping mechanism which maps between data classification processing routines and data classification indicators. The framework facilitates efficient, accurate, and thorough implementation of data classification propagation per the plugged-in taxonomy, both within a given program and between programs that connect over a network. The framework also facilitates flexible implementation of per-taxonomy data protection actions such as deletion, redaction, encryption, anonymization, pseudonymization, hashing, or enrichment, in response to individual or combined data classification indicators. Static analysis of annotated source code determines whether data classifications are accurately and comprehensively propagated with a program.


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