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. 01, 2026

Filed:

Jun. 03, 2024
Applicant:

Palo Alto Networks (Israel Analytics) Ltd., Tel Aviv, IL;

Inventors:

Gal Itzhak, Holon, IL;

Yinnon Meshi, Kibbutz Revivim, IL;

Tuvia Newman, Kiryat Gat, IL;

Niv Sela, Tel Aviv, IL;

Assignee:

Palo Alto Networks, Inc., Santa Clara, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/55 (2013.01);
U.S. Cl.
CPC ...
G06F 21/554 (2013.01); G06F 2221/034 (2013.01);
Abstract

A computer-implemented method for prioritizing security incidents includes maintaining one or more pre-trained Artificial Intelligence (AI) models that, when applied to features extracted from computer-system security incidents, produce a prioritization among the security incidents. An iterative process is run for each computer system among a plurality of computer systems. The iterative process includes detecting one or more security incidents occurring in the computer system, extracting features from the detected incidents, applying the one or more pre-trained AI models to the extracted features so as to produce a computer-system-specific prioritization, presenting the computer-system-specific prioritization to a user of the computer system, receiving user feedback that is indicative of a quality of the computer-system-specific prioritization, as decided by the user of the computer system, and adjusting subsequent extraction of the features, for the computer system, based on the user feedback.


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