Zscaler had two patents in social media during Q4 2023. The patent filed by Zscaler Inc in Q4 2023 focuses on a user performance monitoring solution that tracks application and device performance from the end user’s perspective. It helps IT personnel ensure quality digital experiences across the enterprise by collecting telemetry data, creating performance baselines for ISPs, training ML models for blackout and brownout prediction accuracy, and identifying performance issues in real time. GlobalData’s report on Zscaler gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Zscaler grant share with social media as a theme is 50% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Advanced machine learning techniques for internet outage detection (Patent ID: US20230396512A1)
The patent filed by Zscaler Inc. describes a system and method for monitoring user performance to ensure the quality of digital experience across an enterprise. The system collects telemetry data from user devices regarding ISP performance, creates baselines using various metrics, trains a Machine Learning model to predict blackouts and brownouts, and identifies these events when real-time performance falls below the model's thresholds. The system uses traceroutes, measures metrics like Page Fetch Time and latency, and considers external data like BGP route announcements to calculate the magnitude of blackouts and brownouts, representing them graphically.
The patent also outlines a method for implementing this system external to user devices, collecting telemetry data, creating baselines, training a Machine Learning model, and identifying blackouts and brownouts based on real-time performance. By computing the distance of current metrics from baselines, using traceroutes, and considering metrics like probe error rates and route stability, the system can accurately predict and represent the impact of ISP performance issues. The method also differentiates between low-impact blackouts affecting a small group of users and more significant incidents affecting a larger user base, such as backbone ISP issues. Additionally, the system computes baseline metrics periodically to adapt to changing network conditions, ensuring ongoing monitoring and optimization of digital experience quality.
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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.
