Code42 Software, Inc. (20250016192). SYSTEM FOR MANAGING SECURITY RISKS WITH GENERATIVE ARTIFICIAL INTELLIGENCE: Difference between revisions
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==Inventor(s)== | ==Inventor(s)== | ||
[[:Category:Christopher Michael Montgomery of Blaine MN | [[:Category:Christopher Michael Montgomery of Blaine MN US|Christopher Michael Montgomery of Blaine MN US]][[Category:Christopher Michael Montgomery of Blaine MN US]] | ||
[[:Category:Peter John Lindquist of St. Paul MN | [[:Category:Peter John Lindquist of St. Paul MN US|Peter John Lindquist of St. Paul MN US]][[Category:Peter John Lindquist of St. Paul MN US]] | ||
[[:Category:Thomas Anthony Lindquist of Minnetonka MN | [[:Category:Thomas Anthony Lindquist of Minnetonka MN US|Thomas Anthony Lindquist of Minnetonka MN US]][[Category:Thomas Anthony Lindquist of Minnetonka MN US]] | ||
[[:Category:Andrew Moravec of Hugo MN | [[:Category:Andrew Moravec of Hugo MN US|Andrew Moravec of Hugo MN US]][[Category:Andrew Moravec of Hugo MN US]] | ||
[[:Category:Robert Juncker of Lakeville MN | [[:Category:Robert Juncker of Lakeville MN US|Robert Juncker of Lakeville MN US]][[Category:Robert Juncker of Lakeville MN US]] | ||
==SYSTEM FOR MANAGING SECURITY RISKS WITH GENERATIVE ARTIFICIAL INTELLIGENCE== | ==SYSTEM FOR MANAGING SECURITY RISKS WITH GENERATIVE ARTIFICIAL INTELLIGENCE== | ||
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This abstract first appeared for US patent application 20250016192 titled '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== | ==Original Abstract Submitted== | ||
Latest revision as of 08:42, 25 March 2025
SYSTEM FOR MANAGING SECURITY RISKS WITH GENERATIVE ARTIFICIAL INTELLIGENCE
Organization Name
Inventor(s)
Christopher Michael Montgomery of Blaine MN US
Peter John Lindquist of St. Paul MN US
Thomas Anthony Lindquist of Minnetonka 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.
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