Utilizing machine learning for smart quarantining of potentially malicious files

US11755726B2 · kind B2 · utility

Assignee

• Zscaler, Inc. · US

Inventors

• Changsha Ma · Campbell, US
• Rex Shang · Los Altos, US
• Douglas A. Koch · Santa Clara, US
• Dianhuan Lin · Sunnyvale, US
• Howie Xu · Palo Alto, US
• Bharath Kumar · Redmond, US
• Shashank Gupta · Sammamish, US
• Parnit Sainion · معلمی نژاد, US
• Narinder Paul · Sunnyvale, US
• Deepen Desai · San Ramon, US

Key dates

• Filing date: Jun 16, 2020
• Grant date: Sep 12, 2023
• Expiry date: May 22, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F2221/033
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Systems and methods include obtaining a file associated with a user for processing; utilizing a combination of policy for the user and machine learning to determine whether to i) quarantine the file and scan the file in a sandbox, ii) allow the file to the user and scan the file in the sandbox, and iii) allow the file to the user without the scan; responsive to the quarantine of the file and the sandbox determining the file is malicious, blocking the file; and, responsive to the quarantine of the file and the sandbox determining the file is benign, allowing the file.