Netskope had seven patents in artificial intelligence during Q2 2024. Netskope Inc’s patents in Q2 2024 focus on innovative methods for assigning unique IP addresses to client devices in a cloud-based multi-tenant system and implementing a policy-controlled access system for monitoring and controlling network traffic based on user activities and machine learning algorithms. These technologies aim to enhance security and efficiency in cloud computing environments. 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 had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Policy-based ip address allocation (Patent ID: US20240187438A1)
The patent filed by Netskope Inc. describes a method for assigning unique IP addresses to client devices in a cloud-based multi-tenant system. The system involves monitoring network traffic, identifying users and policies based on applications, assigning IP addresses, and routing data requests to cloud providers. The method ensures each client device has a unique IP address and allows for user behavior analysis, policy compliance checks, and remediation based on browsing activities. The system can assign both IPv6 and IPv4 addresses, categorize users, and provide notifications to administrators for non-compliance.
The patent also outlines a policy-based IP address allocation system within a cloud network, involving servers that provision tunnels, monitor traffic, identify users and policies, assign IP addresses, and route data requests. This system includes features such as machine learning algorithms for user behavior analysis, notifications for non-compliance, and application layer-based policy identification. It supports both IPv6 and IPv4 addresses, allows for remediation based on user behavior analysis, and provides additional challenges to users based on browsing activities. The system is designed to ensure each user in a multi-tenant environment has a unique IP address and operates efficiently within a cloud-based 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.
