ForeScout Technologies had 18 patents in cybersecurity during Q2 2024. ForeScout Technologies Inc filed patents in Q2 2024 related to classification, clustering, data processing, and device scanning. The patents involve using multiple classification methods with varying reliability levels to train models, determining clusters of entities based on behavior, processing data logs from different applications into a standardized format, and scanning devices based on port forwarding policies. 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 cybersecurity as a theme in Q2 2024.
Recent Patents
Application: Self-training classification (Patent ID: US20240195815A1)
The patent by ForeScout Technologies Inc. describes systems and methods for device classification using multiple classification methods with associated models and reliability levels. The higher reliability methods are used to train or tune models associated with lower reliability methods. The method involves accessing a plurality of device classification methods, generating data sets, and selecting methods based on reliability levels for classifying devices connected to a network. Tuning data sets are determined and used to tune models, with the option to store the tuned models for future use. The system includes a processing device and memory to perform these classification tasks based on the initial classification of devices on the network.
The patent also covers the automatic adjustment of reliability levels based on classification results, the use of machine learning models for classification, and the selection of methods based on the network environment. The non-transitory computer-readable medium contains instructions for determining usable classification methods, generating data sets, and tuning models based on reliability levels. The tuning process can be performed on a per-device basis, enhancing the accuracy and efficiency of device classification within a network environment.
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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.
