Netskope had seven patents in digitalization during Q1 2024. Netskope Inc’s patents filed in Q1 2024 include technologies for computer network anomaly detection, multi-label support vector machine classification of documents, classifying files as encrypted or not, and providing secure access to web pages through an intermediary server. These technologies involve advanced algorithms and systems to enhance cybersecurity and improve user experience. GlobalData’s report on Netskope gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Netskope grant share with digitalization as a theme is 42% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for anomaly detection (Patent ID: US20240048581A1)
The patent filed by Netskope Inc. discloses computer network anomaly detection systems and methods that involve retrieving learned profiles for networked computing devices, computing pairwise distance matrices based on statistical data profiles, removing distances above a threshold, clustering devices based on remaining distances, and computing anomaly scores for the clusters. The clustering can be time-based, considering properties like connections, bytes sent/received, and destination IP addresses/ports, with anomaly scores computed based on computing system nodes in the cluster. The method also involves generating learned profiles by collecting network data, categorizing devices, calculating statistical data, and computing distances from a reference point.
Furthermore, the patent describes a method for reading network communication data, determining device groups with similar characteristics, updating normal values based on data, detecting anomalous device data, and raising alerts accordingly. The apparatus includes an anomaly detector with real-time detection and learning modules, along with a database for storing updated normal values. The detector reads data streams, determines device groups, updates normal values, and raises alerts for anomalous data, providing a comprehensive approach to network anomaly detection and response.
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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.
