Rubrik had one patents in artificial intelligence during Q2 2024. Rubrik Inc’s patent filed in Q2 2024 describes techniques for data management, including extracting features from backup data to detect anomalies associated with a target object. The anomaly may be used to identify a malware identity, which can then be displayed to the user via a user interface. GlobalData’s report on Rubrik gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Rubrik had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Malware identity identification (Patent ID: US20240146748A1)
The patent filed by Rubrik Inc. describes techniques for data management involving the extraction of features from backup data to detect anomalies associated with a target object, potentially indicating malware presence. The method involves identifying a malware identity based on the extracted features and indicating this identity through a user interface. Additionally, the method includes comparing features with malware signatures, associating suspicious features with malware identities, and utilizing machine learning models to identify malware based on suspicious features.
Furthermore, the patent outlines procedures for identifying ransom note and malware-encrypted file candidates within backup data, as well as storing and comparing features from different points in time to detect anomalies. The apparatus and computer-readable medium described in the patent provide systems for implementing these data management techniques, including feature extraction, anomaly detection, malware identification, and user interface interaction. Overall, the patent focuses on leveraging backup data to proactively detect and address malware threats within a data management system.
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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.
