Rubrik had four patents in artificial intelligence during Q4 2023. Rubrik Inc filed patents in Q4 2023 for a system that detects ransomware infection in filesystems by analyzing backup data and file behavior, as well as for implementing proactive data security operations for files by analyzing access permission levels and displaying notifications to users about sensitive information in open files. GlobalData’s report on Rubrik gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Rubrik grant share with artificial intelligence 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: Ransomware infection detection in filesystems (Patent ID: US20230409713A1)
The patent filed by Rubrik Inc. describes a system for detecting ransomware infection in filesystems using backup data of machines. The system analyzes the behavior of the filesystem in two stages - first by creating a filesystem metadata based on file operations during a time interval and comparing it to a normal pattern, and second by analyzing the content of files for signs of encryption. By combining the results of both stages, the system determines whether the filesystem is infected by ransomware.
The method outlined in the patent involves determining patterns of changes in the filesystem based on backup data, calculating abnormal scores to detect abnormal behavior, and presenting indications of infection within a user interface. The system uses machine learning models to assess abnormal behavior and encryption likelihood in files, with features trained on various types of filesystem data. Additionally, the patent covers the recording of filesystem changes in metadata, the use of entropy features to detect encryption, and the assessment of entropies to determine infection. Overall, the patent details a comprehensive approach to ransomware detection in filesystems using backup data and machine learning models.
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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.
