Patents by Inventor Michael VELBAUM

Michael VELBAUM 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).

  • CLOUD NATIVE VIRTUAL MACHINE RUNTIME PROTECTION
    Publication number: 20230418637
    Abstract: A system and method for cloud native virtual machine (VM) runtime protection. The method includes creating a normal behavior model for a cloud native VM by training a machine learning model using a training data set including training activities performed by the cloud native VM, the cloud native VM being configured to provide at least one service, wherein the normal behavior model defines at least one capability of each service based on a set of capabilities for respective known services stored within a library of service-to-capability mappings, wherein each capability of a service indicates a plurality of discrete behaviors required by the service; and monitoring an execution of the cloud native VM to detect a deviation from the normal behavior model, wherein the deviation is caused by at least one abnormal behavior of one of the services that is not among the discrete behaviors defined in capabilities for the service.
    Type: Application
    Filed: September 11, 2023
    Publication date: December 28, 2023
    Inventors: Liron Levin, John Morello, Dima Stopel, Michael Velbaum, Itay Abramowsky, Isaac Schnitzer
  • Cloud native virtual machine runtime protection
    Patent number: 11797322
    Abstract: A system and method for cloud native virtual machine (VM) runtime protection. The method includes creating a normal behavior model for a cloud native VM by training a machine learning model using a training data set including training activities performed by the cloud native VM, the cloud native VM being configured to provide at least one service, wherein the normal behavior model defines at least one capability of each service based on a set of capabilities for respective known services stored within a library of service-to-capability mappings, wherein each capability of a service indicates a plurality of discrete behaviors required by the service; and monitoring an execution of the cloud native VM to detect a deviation from the normal behavior model, wherein the deviation is caused by at least one abnormal behavior of one of the services that is not among the discrete behaviors defined in capabilities for the service.
    Type: Grant
    Filed: December 1, 2021
    Date of Patent: October 24, 2023
    Assignee: Twistlock Ltd.
    Inventors: Liron Levin, John Morello, Dima Stopel, Michael Velbaum, Itay Abramowsky, Isaac Schnitzer
  • Cloud native virtual machine runtime protection
    Patent number: 11366680
    Abstract: A system and method for cloud native virtual machine (VM) runtime protection. The method includes creating a normal behavior model for a cloud native VM by training a machine learning model using a training data set including a plurality of training activities performed by the cloud native VM, the cloud native VM being configured to provide at least one service, wherein the normal behavior model defines at least one capability of each of the at least one service, wherein each capability of a service indicates a plurality of discrete behaviors required by the service; and monitoring an execution of the cloud native VM to detect a deviation from the normal behavior model, wherein the deviation is caused by at least one abnormal behavior of one of the at least one service that is not among the discrete behaviors defined in the at least one capability for the service.
    Type: Grant
    Filed: August 22, 2018
    Date of Patent: June 21, 2022
    Assignee: Twistlock, Ltd.
    Inventors: Liron Levin, John Morello, Dima Stopel, Michael Velbaum, Itay Abramowsky, Isaac Schnitzer
  • CLOUD NATIVE VIRTUAL MACHINE RUNTIME PROTECTION
    Publication number: 20220091875
    Abstract: A system and method for cloud native virtual machine (VM) runtime protection. The method includes creating a normal behavior model for a cloud native VM by training a machine learning model using a training data set including training activities performed by the cloud native VM, the cloud native VM being configured to provide at least one service, wherein the normal behavior model defines at least one capability of each service based on a set of capabilities for respective known services stored within a library of service-to-capability mappings, wherein each capability of a service indicates a plurality of discrete behaviors required by the service; and monitoring an execution of the cloud native VM to detect a deviation from the normal behavior model, wherein the deviation is caused by at least one abnormal behavior of one of the services that is not among the discrete behaviors defined in capabilities for the service.
    Type: Application
    Filed: December 1, 2021
    Publication date: March 24, 2022
    Applicant: Twistlock, Ltd.
    Inventors: Liron LEVIN, John MORELLO, Dima STOPEL, Michael VELBAUM, Itay ABRAMOWSKY, Isaac SCHNITZER
  • Techniques for serverless runtime application self-protection
    Patent number: 11036534
    Abstract: A system and method for serverless runtime application self-protection.
    Type: Grant
    Filed: September 27, 2018
    Date of Patent: June 15, 2021
    Assignee: TWISTLOCK, Ltd.
    Inventors: Liron Levin, Dima Stopel, Michael Velbaum, Alon Adler, Michael Kletselman, John Morello
  • CLOUD NATIVE VIRTUAL MACHINE RUNTIME PROTECTION
    Publication number: 20200026849
    Abstract: A system and method for cloud native virtual machine (VM) runtime protection. The method includes creating a normal behavior model for a cloud native VM by training a machine learning model using a training data set including a plurality of training activities performed by the cloud native VM, the cloud native VM being configured to provide at least one service, wherein the normal behavior model defines at least one capability of each of the at least one service, wherein each capability of a service indicates a plurality of discrete behaviors required by the service; and monitoring an execution of the cloud native VM to detect a deviation from the normal behavior model, wherein the deviation is caused by at least one abnormal behavior of one of the at least one service that is not among the discrete behaviors defined in the at least one capability for the service.
    Type: Application
    Filed: August 22, 2018
    Publication date: January 23, 2020
    Applicant: Twistlock, Ltd.
    Inventors: Liron LEVIN, John MORELLO, Dima STOPEL, Michael VELBAUM, Itay ABRAMOWSKY, Isaac SCHNITZER
  • TECHNIQUES FOR SERVERLESS RUNTIME APPLICATION SELF-PROTECTION
    Publication number: 20200026850
    Abstract: A system and method for serverless runtime application self-protection.
    Type: Application
    Filed: September 27, 2018
    Publication date: January 23, 2020
    Applicant: Twistlock, Ltd.
    Inventors: Liron LEVIN, Dima STOPEL, Michael VELBAUM, Alon ADLER, Michael KLETSELMAN, John MORELLO