ForeScout Technologies had six patents in artificial intelligence 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, behaviors are determined and used to create a profile with a classification. This profile includes a state machine that can be used to classify new entities entering the network based on the behaviors of existing entities. 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 grant share with artificial intelligence as a theme is 66% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
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 these behaviors, creating a profile with a classification for the entity, establishing a state machine associated with this 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 that performs these actions, with the profile potentially containing static attributes and being validated for accuracy.
The patent claims detail the steps involved in the method, such as accessing communication data, determining behaviors, sequences, and profiles, as well as classifying entities based on state machines. The system includes a memory and processing device to carry out these functions, with the profile potentially including static attributes and being uploaded to a remote system for validation. Additionally, a non-transitory computer-readable medium is described with encoded instructions for accessing data, determining behaviors and sequences, creating profiles, and classifying entities based on state machines. The profile may contain static attributes and be validated for accuracy, with the behaviors associated with specific time periods and matched against states in the state machine.
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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.
