Rubrik had three patents in artificial intelligence during Q1 2024. Rubrik Inc filed a patent for implementing a scalable automated training framework for anomaly and ransomware detection. The technique involves simulating user actions and ransomware on virtual machines, generating metadata files based on snapshots, and training a ransomware detection model using machine learning algorithms. The patent aims to enable real-time detection of ransomware, system threats, and credential misappropriation using file system audit events. 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 grant share with artificial intelligence as a theme is 33% 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 simulating user actions and ransomware on virtual machines, generating metadata files based on snapshots of the virtual machines to indicate changes in the file systems, and training a ransomware detection model using machine learning algorithms and training data derived from the metadata files.
The method outlined in the patent involves executing a computer program to simulate user actions on virtual machines in the presence of simulated malware, generating training data for malware detection based on the changes caused by the simulated user actions, and training a machine learning model for malware detection using the generated training data. The system allows for the detection of different types of malware, including ransomware, by comparing snapshots of changes in the file systems of virtual machines over time. Additionally, the patent covers the simulation of various user actions, such as interface manipulation and resource navigation, to create realistic training data for the machine learning model. Overall, Rubrik Inc.'s patent introduces an innovative approach to training malware detection models using simulated user actions and ransomware on virtual machines.
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