Rubrik had 16 patents in digitalization during Q4 2023. Rubrik Inc’s patents filed in Q4 2023 focus on detecting ransomware infection in filesystems using backup data, facilitating storage tiering of snapshots on cloud environments, performing backup procedures based on database roles, creating local consolidated patch files in a DMS platform, and recovering files from a filesystem stored across sparse files in a cloud environment. These innovations aim to enhance data management, storage, and security in cloud environments. 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 digitalization as a theme is 43% 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 operates in two stages, first analyzing the behavior of the filesystem by comparing patterns of file operations to a normal pattern, and then examining 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 involves using a ransomware detection model to calculate abnormal scores based on changes in the filesystem, training model features using training data, and assessing entropy features to determine the likelihood of files being encrypted.
The patent also includes claims related to the method, such as determining patterns of changes in filesystems based on backup data, using machine learning models to calculate abnormal scores, and presenting indications of infection within a user interface. Additionally, the claims cover aspects like training model features with training data, recording changes in filesystem metadata, and assessing entropies of files to detect abnormal behavior. The patent further extends to non-transitory computer-readable mediums storing code for implementing the method and apparatus for data management, including processors, memory, and instructions for detecting ransomware infection based on abnormal behavior in filesystems.
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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.
