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:
Mar. 17, 2026

Filed:

Aug. 30, 2024
Applicant:

Privafy Inc, Burlington, MA (US);

Inventors:

Rangamani Sundar, Burlington, MA (US);

Xuepeng Sun, Burlington, MA (US);

Gurudutt Pai, Burlington, MA (US);

Kumar Vishwanathan, Burlington, MA (US);

Vijay Sankar Veeriah, Bangalore, IN;

Srinivasan Krishnamoorthy, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/56 (2013.01);
U.S. Cl.
CPC ...
G06F 21/566 (2013.01); G06F 2221/034 (2013.01);
Abstract

An artificial intelligence (AI)-based system for detecting malware in endpoint devices using a multi-source data fusion and method thereof are disclosed. The AI-based system collects at least one of: endpoint visibility data, publicly available information, and sandbox analysis data using the multi-source data fusion. By using the collected data, the AI-based system generates one or more numerical embeddings for at least one of: one or more files and one or more applications of each endpoint device using one or more AI models. The AI-based system is configured with the one or more AI models to generate one or more dynamic directed graphs based on the generated one or more numerical embeddings to compute a maliciousness risk score. The maliciousness risk score of at least one of the: one or more files and one or more applications is used for detecting the malware in the one or more endpoint devices.


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