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. 14, 2025

Filed:

Nov. 01, 2023
Applicant:

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

Inventors:

Peter Shmukler, Netanya, IL;

Amit Cohen, Kfar Saba, IL;

Lior Chen, Tel Mond, IL;

Nir Zinger, Moshav Burgata, IL;

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/35 (2019.01); G06F 21/62 (2013.01); G06F 40/284 (2020.01); G06F 40/40 (2020.01);
U.S. Cl.
CPC ...
G06F 16/35 (2019.01); G06F 21/6245 (2013.01); G06F 40/284 (2020.01); G06F 40/40 (2020.01);
Abstract

Device, system, and method for automatically detecting and classifying personally identifiable information (PII) in documents and files. A method includes performing a deterministic rule-based search, in a plurality of stored documents, for PII data-items. If the deterministic rule-based search indicates that a particular document is more likely than not to contain a PII data-items then the method includes: extracting a textual snippet from the particular document, wherein the textual snippets surrounds the PII data-item; adding the textual snippet and the particular document to one or more training datasets utilized for training a Large Language Model (LLM) configured to find PII data-items in documents for Named Entity Recognition (NER) in those documents.


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