CrowdStrike, Inc. (20250023893). THREAT EXPOSURE MANAGEMENT SYSTEM USING LARGE LANGUAGE MODELS
THREAT EXPOSURE MANAGEMENT SYSTEM USING LARGE LANGUAGE MODELS
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THREAT EXPOSURE MANAGEMENT SYSTEM USING LARGE LANGUAGE MODELS
This abstract first appeared for US patent application 20250023893 titled 'THREAT EXPOSURE MANAGEMENT SYSTEM USING LARGE LANGUAGE MODELS
Original Abstract Submitted
a system and method of using generative ai to identify exposures of computing devices on computing networks to actual and/or potential threats. the method includes collecting a plurality of responses from a plurality of devices to a target device on a private network. the method includes providing the plurality of responses to a classification model trained to assign device descriptions for device responses based on semantic matching of the device responses to database data. the method includes assigning, by the processing device using the classification model, a plurality of device descriptions for the plurality of responses to the target device, each response is respectively associated with one or more device descriptions of the plurality of device descriptions. the method includes generating, based on the plurality of device descriptions, a status report comprising a list of network addresses associated with a group of devices having access to the target device.
