Rubrik grant share with cybersecurity as a theme is 45% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Scalable automated training framework (Patent ID: US20240089282A1)

Rubrik Inc. has developed a patent for a scalable automated training framework for anomaly and ransomware detection. The system involves instantiating virtual machines with corresponding file systems, simulating user actions and ransomware on these machines to generate metadata files based on snapshots of the changes, and training a ransomware detection model using machine learning algorithms and training data derived from the metadata files. The method includes executing a computer program to simulate user actions and malware presence, generating training data based on these simulations, and training a machine learning model for malware detection.

The patent claims detail the method further, including training the model for specific types of malware, obtaining snapshots of virtual machines to track changes, simulating user actions like interface manipulation and resource navigation, and detecting malware presence on virtual machines or other computing devices. The apparatus and non-transitory computer-readable medium described in the claims outline the hardware components and storage requirements for executing the method, emphasizing the importance of simulating user actions and malware presence to generate training data for effective malware detection using machine learning models.

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