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:
Jan. 06, 2026

Filed:

Nov. 10, 2023
Applicant:

Varonis Systems, Inc., New York, NY (US);

Inventors:

Amir Belgi, Ra'anana, IL;

Ron Sneh, Atlit, IL;

John Eugene Neystadt, Kfar-Saba, IL;

Orr Kadec, Haworth, NJ (US);

Assignee:

VARONIS SYSTEMS, INC., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/62 (2013.01); G06F 16/75 (2019.01); G06F 16/783 (2019.01);
U.S. Cl.
CPC ...
G06F 21/6218 (2013.01); G06F 16/75 (2019.01); G06F 16/784 (2019.01);
Abstract

A method and system for classifying a video file within an environment in which the file is located and when a file is classified as sensitive, controlling transmission of the file outside the environment. Classifying the video comprises analysing, using at least one machine learning model, the video to recognise any individuals in the video; obtaining a transcript of any speech in the video and generating, using the analysis, obtained transcript and a database of individuals linked to the environment, a labelled transcript which identifies each individual linked to the environment that is in the video. Information about each identified individual may be obtained from a connected database. A first generative AI model generates a text-based summary of the video by using the labelled transcript and information about identified individuals as prompts. A second generative AI model then determines a sensitivity classification of the video using the generated text-based summary.


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