Pure Storage had 31 patents in cybersecurity during Q4 2023. Pure Storage Inc filed patents in Q4 2023 for methods related to identifying security threats in storage systems based on compressibility metrics, providing end-to-end encryption for data, secure cloud-based storage system management, delaying deletion of datasets, and executing dispersed error encoding and decoding in a storage network for data recovery. GlobalData’s report on Pure Storage gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Pure Storage grant share with cybersecurity as a theme is 48% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Ransomware-based data protection parameter modification (Patent ID: US20230409706A1)

The patent filed by Pure Storage Inc. describes a method for detecting security threats targeting a storage system based on the compressibility of read and write traffic. If the total traffic exceeds a threshold and the write traffic is less compressible than read traffic, it indicates a possible security threat. In response, data protection parameters for recovery datasets are modified to enhance security measures, such as adjusting retention durations and increasing the frequency of recovery dataset generation.

Furthermore, the method involves identifying anomalies in the storage system to strengthen the determination of a security threat. Additional remedial actions can be taken, such as directing the transmission of recovery datasets to a remote storage system or providing notifications of the security threat. The system described in the patent includes processors and memory to execute the method, ensuring efficient detection and response to potential security threats targeting the storage system.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

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.