Zscaler had 22 patents in cybersecurity during Q2 2024. Zscaler Inc’s patents in Q2 2024 focus on systems and methods for secure data transmission, analyzing user behavior to determine access policies, calculating security risk scores based on network status, defending against volumetric attacks in cloud-based systems, and providing an identity power scoring system for cloud environments. These innovations aim to enhance security and efficiency in cloud computing environments. GlobalData’s report on Zscaler gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Zscaler had no grants in cybersecurity as a theme in Q2 2024.

Recent Patents

Application: Cloud-based tunnel protocol systems and methods for multiple ports and protocols (Patent ID: US20240214363A1)

The patent filed by Zscaler Inc. describes systems and methods for determining whether a request received at a remote node should be sent directly or via a cloud-based system. It involves establishing a tunnel between the remote node and a local node, with a control channel using a first encryption technique and a data channel using a second encryption technique. Device and user authentication are performed over the control channel, followed by the exchange of data packets over the data channel, each including a user identifier.

The patent includes claims for a non-transitory computer-readable medium storing instructions for executing the described steps, with additional claims specifying the encryption techniques used, the authentication processes, and the exchange of data packets. The method involves determining the destination of the request, forwarding it directly if needed, and establishing secure channels for communication. The local node is part of a cloud-based security system, enabling users to connect for firewall and Intrusion Prevention System functions. The patent emphasizes the importance of encryption, authentication, and secure data exchange in remote communication systems.

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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.