ForeScout Technologies had two patents in digitalization during Q1 2024. ForeScout Technologies Inc’s patent involves systems and methods for profiling and classifying entities based on their behaviors on a network. By analyzing data associated with entity communications, determining behaviors, and creating behavior sequences, entities can be classified and profiled. This allows for the detection and classification of new entities entering the network based on existing entity profiles. GlobalData’s report on ForeScout Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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ForeScout Technologies had no grants in digitalization as a theme in Q1 2024.
Recent Patents
Application: Behavior based profiling (Patent ID: US20240048578A1)
The patent filed by ForeScout Technologies Inc. describes systems and methods for profiling and classifying entities based on their behaviors on a network. The method involves accessing data related to the communications of a first entity, determining behaviors and sequences of behaviors, creating a profile with a classification for the entity, establishing a state machine associated with the classification, detecting a second entity on the network, and classifying the second entity based on the state machine of the first entity's profile. The system includes a processing device and memory to perform these functions, with the profile potentially containing static attributes and being validated for accuracy.
The method and system outlined in the patent involve accessing communication data, determining behaviors and sequences, creating profiles with classifications, and using state machines to classify entities on a network. The entities can be classified based on the behaviors of a known entity, with the profile potentially including static attributes and being uploaded to a remote system for validation. The patent also covers a non-transitory computer-readable medium with instructions for executing the process, emphasizing the importance of accurate profiling and classification based on behaviors and state machines associated with entities on a network.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
