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:

Jun. 25, 2021
Applicant:

Red Bend Ltd., Hod Ha'Sharon, IL;

Inventors:

Shachar Mendelowitz, Hertzeliya, IL;

Jonathan Katz, Lod, IL;

Ori Goldberg, Kiryat Ono, IL;

Yosef Golan, Tel Aviv, IL;

Assignee:

RED BEND LTD., Hod Hasharon, IL;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 11/362 (2025.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 11/3636 (2013.01); G06N 3/08 (2013.01);
Abstract

Disclosed herein are methods and systems for training and using a neural network to evaluate vulnerability of software packages, comprising using a plurality of training samples each associating one of a plurality of software packages with one of a plurality of vulnerabilities identified by one of a plurality of validators to training the neural network to compute a probability of presence of one or more of the plurality of vulnerabilities in each of the plurality of software packages and outputting the trained neural network. The validators may include expert knowledge, heuristics, rule-based models as well as machine learning and deep learning models. The trained neural network may be then applied to compute a probability of presence of one or more of the vulnerabilities in one or more previously unseen software packages based on a feed of vulnerabilities identified in the previously unseen software package(s) by the plurality of validators.


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