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. 15, 2026

Filed:

Oct. 30, 2024
Applicant:

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

Inventors:

Jinghua Chen, Redmond, WA (US);

Wen Xu, Issaquah, WA (US);

Gautam Prasad, Hyderabad, IN;

Mayur Gul Warialani, Hyderabad, IN;

Juchuan Song, Bellevue, WA (US);

Arun Kumar, Hyderabad, IN;

Palak Bhatia, Delhi, IN;

Ashish Mehndi, Hyderabad, IN;

Vinayak Nadir, New Delhi, IN;

Kunal Verma, Udaipur, IN;

Talhah Munawar Mir, Bothwell, WA (US);

Deepika Puri Gakhar, Syosset, NY (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); H04L 41/16 (2022.01); H04L 41/22 (2022.01);
U.S. Cl.
CPC ...
H04L 63/20 (2013.01); H04L 41/16 (2013.01); H04L 41/22 (2013.01);
Abstract

In various examples, input queries (e.g. open user queries) are used combination with predefined queries to perform security policy-related actions using a generative machine learning (GML) model or GML models. In one example, an input query relating to a security policy is matched with a predefined query stored in an instruction database. In some examples, the instruction database contains examples of structured configuration data, which in turn can be used by a GML model to configure a predetermined extractor code module to perform a specific policy-related action. In other examples, a security context relating to a security policy is used together with an input query and template query to generate a GML model query. In some examples, the two approaches are combined.


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