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:
Aug. 11, 2026

Filed:

Sep. 17, 2025
Applicant:

Intuit Inc., Mountain View, CA (US);

Inventors:

Shon Mendelson, Tel Aviv, IL;

Natalie Bar Eliyahu, Petah Tikva, IL;

Hadassah Gila Dekelboim, Elad, IL;

Guy Elad, Petah Tikva, IL;

Amnon Mor, Tel Aviv, IL;

Shahar Glatman, Haifa, IL;

Assignee:

Intuit Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/00 (2013.01); G06F 18/241 (2023.01); G06F 21/55 (2013.01); G06N 3/0895 (2023.01);
U.S. Cl.
CPC ...
G06F 21/554 (2013.01); G06F 18/241 (2023.01); G06N 3/0895 (2023.01); G06F 2221/033 (2013.01);
Abstract

A clustering model clusters multiple LLM prompts through a clustering model to generate multiple clusters. Multiple judge models classify the LLM prompts to obtain multiple predictions for each LLM prompt of the LLM prompts. The predictions are into a first set of security classes corresponding to at least one malicious class and a second set of security classes corresponding to at least one benign class. Multiple sample LLM prompts in a cluster are selected based on a discrepancy amongst the predictions of each sample LLM prompt in the sample LLM prompts. A lead model evaluates the sample LLM prompts to select a judge model of the judge models for the cluster. The selected judge model is assigned to the cluster.


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