Patents by Inventor Vadim Dmitriyevich Kotov

Vadim Dmitriyevich Kotov 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).

  • Endpoint detection and response utilizing machine learning
    Patent number: 11494490
    Abstract: A plurality of events associated with each of a plurality of computing nodes that form part of a network topology are monitored. The network topology includes antivirus tools to detect malicious software prior to it accessing one of the computing nodes. Thereafter, it is determined that, using at least one machine learning model, at least one of the events is indicative of malicious activity that has circumvented or bypassed the antivirus tools. Data is then provided that characterizes the determination. Related apparatus, systems, techniques and articles are also described.
    Type: Grant
    Filed: May 22, 2020
    Date of Patent: November 8, 2022
    Assignee: Cylance Inc.
    Inventors: Rahul Chander Kashyap, Vadim Dmitriyevich Kotov, Samuel John Oswald, Homer Valentine Strong
  • Endpoint Detection and Response Utilizing Machine Learning
    Publication number: 20200285741
    Abstract: A plurality of events associated with each of a plurality of computing nodes that form part of a network topology are monitored. The network topology includes antivirus tools to detect malicious software prior to it accessing one of the computing nodes. Thereafter, it is determined that, using at least one machine learning model, at least one of the events is indicative of malicious activity that has circumvented or bypassed the antivirus tools. Data is then provided that characterizes the determination. Related apparatus, systems, techniques and articles are also described.
    Type: Application
    Filed: May 22, 2020
    Publication date: September 10, 2020
    Inventors: Rahul Chander Kashyap, Vadim Dmitriyevich Kotov, Samuel John Oswald, Homer Valentine Strong
  • Endpoint detection and response utilizing machine learning
    Patent number: 10699012
    Abstract: A plurality of events associated with each of a plurality of computing nodes that form part of a network topology are monitored. The network topology includes antivirus tools to detect malicious software prior to it accessing one of the computing nodes. Thereafter, it is determined that, using at least one machine learning model, at least one of the events is indicative of malicious activity that has circumvented or bypassed the antivirus tools. Data is then provided that characterizes the determination. Related apparatus, systems, techniques and articles are also described.
    Type: Grant
    Filed: January 4, 2018
    Date of Patent: June 30, 2020
    Assignee: Cylance Inc.
    Inventors: Rahul Chander Kashyap, Vadim Dmitriyevich Kotov, Samuel John Oswald, Homer Valentine Strong
  • Endpoint Detection and Response Utilizing Machine Learning
    Publication number: 20180196942
    Abstract: A plurality of events associated with each of a plurality of computing nodes that form part of a network topology are monitored. The network topology includes antivirus tools to detect malicious software prior to it accessing one of the computing nodes. Thereafter, it is determined that, using at least one machine learning model, at least one of the events is indicative of malicious activity that has circumvented or bypassed the antivirus tools. Data is then provided that characterizes the determination. Related apparatus, systems, techniques and articles are also described.
    Type: Application
    Filed: January 4, 2018
    Publication date: July 12, 2018
    Inventors: Rahul Chander Kashyap, Vadim Dmitriyevich Kotov, Samuel John Oswald, Homer Valentine Strong