Netskope had three patents in big data during Q2 2024. Netskope Inc’s patent filed in Q2 2024 describes a cloud network that delivers local content to a user at their location without the need for a data center. The network includes a client device with a local application, a mid-link server, and a cloud provider. The user’s request for local data is sent to a sub-data center closest to their location, which is assigned an IP address for that specific location. This allows for efficient delivery of local content to the user without the need for a centralized data center. 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 big data as a theme in Q2 2024.
Recent Patents
Application: Conditional egress ip for delivery of localized content (Patent ID: US20240187377A1)
The patent filed by Netskope Inc. describes a cloud network designed to deliver local content to users at their specific locations without the need for a data center. The network involves a client device with a local application, a mid-link server, and a cloud provider. The mid-link server receives requests for local data from users and identifies the nearest sub-data center to the user location, assigning it an IP address for delivery. Each data center has IP addresses for different locations, ensuring the local content is provided to the user efficiently.
The patent also outlines a method for providing localized content in a cloud-based multi-tenant system, categorizing users based on compliance with security policies and the type of applications installed on their devices. The method involves identifying locations without data centers, assigning IP addresses to the nearest sub-data center, and routing requests accordingly. The system ensures that local data is delivered to users based on their specific location, utilizing data centers located worldwide and implementing policies associated with IP addresses for efficient content delivery.
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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.
