Patents by Inventor Oscar Annen
Oscar Annen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 12250235Abstract: Techniques for implementing a scalable automated training framework for anomaly and ransomware detection are disclosed. A computer system may instantiate one or more virtual machines (VMs). Each VM may be loaded with a corresponding file system. The computer system may simulate, on the one or more VMs, user actions and ransomware, which may cause changes to the corresponding file systems loaded on to the VMs. The computer system may obtain snapshots of the VMs that indicate changes to the corresponding file system of each of the VMs. The computer system may generate a metadata file for each VM based on the corresponding snapshot. The computer system may generate training data for training a ransomware detection model using a machine learning algorithm based on the metadata files for each of the VMs.Type: GrantFiled: January 29, 2021Date of Patent: March 11, 2025Assignee: Rubrik, Inc.Inventors: Oscar Annen, Sumeet Bharatbhai Varma, Guilherme Vale Ferreira Menezes, Stephen Chu, Mohit Gupta
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Publication number: 20250063059Abstract: Some examples relate generally to computer architecture software for information security and, in some more particular aspects, to machine learning based on changes in snapshot metadata for anomaly and ransomware detection in a file system.Type: ApplicationFiled: November 5, 2024Publication date: February 20, 2025Inventors: Oscar Annen, Di Wu, Ajay Saini
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Patent number: 12143407Abstract: Some examples relate generally to computer architecture software for information security and, in some more particular aspects, to machine learning based on changes in snapshot metadata for anomaly and ransomware detection in a file system.Type: GrantFiled: August 7, 2019Date of Patent: November 12, 2024Assignee: Rubrik, Inc.Inventors: Oscar Annen, Di Wu, Ajay Saini
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Patent number: 11941117Abstract: Techniques unmasking ransomware attacks are disclosed. In some embodiments, a computer system performs operations comprising: generating a first prediction that a file system comprising a plurality of files has been attacked by ransomware based on snapshot metadata of the file system using a snapshot-level machine learning prediction model, the snapshot metadata comprising a plurality of file change data indicating a plurality of file change events that have been performed on the file system; in response to the first prediction, generating a classification for each one of the files based on the file change data using a file-level machine learning prediction model, the classification indicating whether the files have been targeted by the ransomware for encryption; determining that one or more files have been targeted by the ransomware based on the classification; and displaying the classification for the one or more files on a computing device of a user.Type: GrantFiled: January 29, 2021Date of Patent: March 26, 2024Assignee: Rubrik, Inc.Inventors: Oscar Annen, Harish Raman Shanker, Guilherme Vale Ferreira Menezes, Stephen Chu, Mohit Gupta, Sumeet Bharatbhai Varma
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Publication number: 20240089282Abstract: Techniques for implementing a scalable automated training framework for anomaly and ransomware detection are disclosed. In some embodiments, a computer system performs operations comprising: instantiating a plurality of virtual machines, each one of the virtual machines being loaded with a corresponding file system; simulating user actions and ransomware on the virtual machines, the simulating of user actions and ransomware on the virtual machines causing changes to the corresponding file systems of the virtual machines; for each one of the plurality of virtual machines, generating a corresponding metadata file based on one or more corresponding snapshots of the virtual machine, the one or more corresponding snapshots indicating the changes to the corresponding file system of the virtual machine; and training a ransomware detection model using a machine learning algorithm and training data, the training data being based on the corresponding metadata files of the virtual machines.Type: ApplicationFiled: November 21, 2023Publication date: March 14, 2024Inventors: Oscar Annen, Sumeet Bharatbhai Varma, Guilherme Vale Ferreira Menezes, Stephen Chu, Mohit Gupta
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Publication number: 20230105500Abstract: Some examples relate generally to computer architecture software for information security and, in some more particular aspects, to machine learning based on changes in snapshot metadata for anomaly and ransomware detection in a file system.Type: ApplicationFiled: December 2, 2022Publication date: April 6, 2023Inventors: Oscar Annen, Di Wu, Ajay Saini
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Patent number: 11522889Abstract: Some examples relate generally to computer architecture software for information security and, in some more particular aspects, to machine learning based on changes in snapshot metadata for anomaly and ransomware detection in a file system.Type: GrantFiled: August 7, 2019Date of Patent: December 6, 2022Assignee: Rubrik, Inc.Inventors: Oscar Annen, Di Wu, Ajay Saini
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Patent number: 11449607Abstract: Some examples relate generally to computer architecture software for information security and, in some more particular aspects, to machine learning based on changes in snapshot metadata for anomaly and ransomware detection in a file system.Type: GrantFiled: August 7, 2019Date of Patent: September 20, 2022Assignee: Rubrik, Inc.Inventors: Oscar Annen, Di Wu, Ajay Saini
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Publication number: 20220245245Abstract: Techniques unmasking ransomware attacks are disclosed. In some embodiments, a computer system performs operations comprising: generating a first prediction that a file system comprising a plurality of files has been attacked by ransomware based on snapshot metadata of the file system using a snapshot-level machine learning prediction model, the snapshot metadata comprising a plurality of file change data indicating a plurality of file change events that have been performed on the file system; in response to the first prediction, generating a classification for each one of the files based on the file change data using a file-level machine learning prediction model, the classification indicating whether the files have been targeted by the ransomware for encryption; determining that one or more files have been targeted by the ransomware based on the classification; and displaying the classification for the one or more files on a computing device of a user.Type: ApplicationFiled: January 29, 2021Publication date: August 4, 2022Inventors: Oscar Annen, Harish Raman Shanker, Guilherme Vale Ferreira Menezes, Stephen Chu, Mohit Gupta, Sumeet Bharatbhai Varma
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Publication number: 20220247766Abstract: Techniques for implementing a scalable automated training framework for anomaly and ransomware detection are disclosed. In some embodiments, a computer system performs operations comprising: instantiating a plurality of virtual machines, each one of the virtual machines being loaded with a corresponding file system; simulating user actions and ransomware on the virtual machines, the simulating of user actions and ransomware on the virtual machines causing changes to the corresponding file systems of the virtual machines; for each one of the plurality of virtual machines, generating a corresponding metadata file based on one or more corresponding snapshots of the virtual machine, the one or more corresponding snapshots indicating the changes to the corresponding file system of the virtual machine; and training a ransomware detection model using a machine learning algorithm and training data, the training data being based on the corresponding metadata files of the virtual machines.Type: ApplicationFiled: January 29, 2021Publication date: August 4, 2022Inventors: Oscar Annen, Sumeet Bharatbhai Varma, Guilherme Vale Ferreira Menezes, Stephen Chu, Mohit Gupta
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Publication number: 20210044603Abstract: Some examples relate generally to computer architecture software for information security and, in some more particular aspects, to machine learning based on changes in snapshot metadata for anomaly and ransomware detection in a file system.Type: ApplicationFiled: August 7, 2019Publication date: February 11, 2021Inventors: Oscar Annen, Di Wu, Ajay Saini
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Publication number: 20210042411Abstract: Some examples relate generally to computer architecture software for information security and, in some more particular aspects, to machine learning based on changes in snapshot metadata for anomaly and ransomware detection in a file system.Type: ApplicationFiled: August 7, 2019Publication date: February 11, 2021Inventors: Oscar Annen, Di Wu, Ajay Saini
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Publication number: 20210044604Abstract: Some examples relate generally to computer architecture software for information security and, in some more particular aspects, to machine learning based on changes in snapshot metadata for anomaly and ransomware detection in a file system.Type: ApplicationFiled: August 7, 2019Publication date: February 11, 2021Inventors: Oscar Annen, Di Wu, Ajay Saini