View source for CrowdStrike, Inc. (20250007926). LARGE LANGUAGE MODELS FOR ACTOR ATTRIBUTIONS

=LARGE LANGUAGE MODELS FOR ACTOR ATTRIBUTIONS=


==Organization Name==

[[:Category:CrowdStrike, Inc.|CrowdStrike, Inc.]]


[[Category:CrowdStrike, Inc.]]

==Inventor(s)==

[[:Category:Andrew Southgate of Cambridge GB|Andrew Southgate of Cambridge GB]][[Category:Andrew Southgate of Cambridge GB]]

[[:Category:Paul Sumedrea of Bucharest RO|Paul Sumedrea of Bucharest RO]][[Category:Paul Sumedrea of Bucharest RO]]

[[:Category:Stefan-Bogdan Cocea of Bucharest RO|Stefan-Bogdan Cocea of Bucharest RO]][[Category:Stefan-Bogdan Cocea of Bucharest RO]]

[[:Category:Dragos Georgian Corlatescu of Bucharest RO|Dragos Georgian Corlatescu of Bucharest RO]][[Category:Dragos Georgian Corlatescu of Bucharest RO]]

==LARGE LANGUAGE MODELS FOR ACTOR ATTRIBUTIONS==


This abstract first appeared for US patent application 20250007926 titled 'LARGE LANGUAGE MODELS FOR ACTOR ATTRIBUTIONS

==Original Abstract Submitted==

systems and methods of actor attribution utilizing a machine learning (ml) model, such as a large language model (llm), are provided. the method includes generating a first ml model based on first data associated with a first cybersecurity incident of a plurality of cybersecurity incidents. the method includes training the first ml model based on actor attribution associated with the first cybersecurity incident to generate a second ml model. the method includes receiving second data that is associated with a second cybersecurity incident of the plurality of cybersecurity incidents. the method includes producing, by a processing device for the second ml model using the second data, an attribution of the second cybersecurity incident to an actor.



[[Category:H04L9/40]]
[[Category:H04L41/16]]
[[Category:CPC_H04L63/1416]]