Code42 Software, Inc. (20250016192). SYSTEM FOR MANAGING SECURITY RISKS WITH GENERATIVE ARTIFICIAL INTELLIGENCE

SYSTEM FOR MANAGING SECURITY RISKS WITH GENERATIVE ARTIFICIAL INTELLIGENCE

Organization Name

Code42 Software, Inc.

Inventor(s)

Christopher Michael Montgomery of Blaine MN (US)

Peter John Lindquist of St. Paul MN (US)

Thomas Anthony Lindquist of Minnetonka MN (US)

Andrew Moravec of Hugo MN (US)

Robert Juncker of Lakeville MN (US)

SYSTEM FOR MANAGING SECURITY RISKS WITH GENERATIVE ARTIFICIAL INTELLIGENCE

This abstract first appeared for US patent application 20250016192 titled 'SYSTEM FOR MANAGING SECURITY RISKS WITH GENERATIVE ARTIFICIAL INTELLIGENCE

Original Abstract Submitted

a system and method to use generative artificial intelligence to detect potential exfiltration events. a system for exfiltration analysis is configured to receive a plurality of file identifiers of a corresponding plurality of files, the plurality of files related to exfiltration alerts; store information about the plurality of files in a forensic file data store, the forensic file data store used to provide contextual information for a large language model (llm); receive an exfiltration query from a user of the system; and produce a generative output using the llm based on the exfiltration query and the contextual information.