Patents by Inventor Itai Koren

Itai Koren 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).

  • Publication number: 20230318931
    Abstract: Systems, methods, and related technologies relate to obtaining a first classification of a device on a network from a first source, obtaining a second classification of the device on the network from a second source wherein the first classification and the second classification are different, and determining a classification result of the device based on selecting at least one of the first classification or the second classification.
    Type: Application
    Filed: December 7, 2022
    Publication date: October 5, 2023
    Inventors: Itai Koren, Nadav Gothait, Michael Oks, Shay Shemer
  • Publication number: 20230283561
    Abstract: Systems, methods, and related technologies for classification are described. Network traffic transmitted by a first device is obtained. A set of features is determined based on the network traffic. A first classification for the device is determine a first classification for the first device based on the set of features. The first classification is associated with a first classification level. A second machine learning model is identified based on the first classification. The second machine learning model is associated with the first classification. A second classification for the first device is determined based on the second machine learning model. The second classification is associated with a second classification level. At least one of the first classification and the second classification is stored.
    Type: Application
    Filed: May 4, 2023
    Publication date: September 7, 2023
    Inventors: Itai Koren, Zvika Plotkin
  • Patent number: 11689468
    Abstract: Systems, methods, and related technologies for classification are described. Network traffic transmitted by a first device is obtained. A set of features is determined based on the network traffic. A first classification for the device is determine a first classification for the first device based on the set of features. The first classification is associated with a first classification level. A second machine learning model is identified based on the first classification. The second machine learning model is associated with the first classification. A second classification for the first device is determined based on the second machine learning model. The second classification is associated with a second classification level. At least one of the first classification and the second classification is stored.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: June 27, 2023
    Assignee: FORESCOUT TECHNOLOGIES, INC.
    Inventors: Itai Koren, Zvika Plotkin
  • Publication number: 20220210079
    Abstract: Systems, methods, and related technologies for classification are described. Network traffic transmitted by a first device is obtained. A set of features is determined based on the network traffic. A first classification for the device is determine a first classification for the first device based on the set of features. The first classification is associated with a first classification level. A second machine learning model is identified based on the first classification. The second machine learning model is associated with the first classification. A second classification for the first device is determined based on the second machine learning model. The second classification is associated with a second classification level. At least one of the first classification and the second classification is stored.
    Type: Application
    Filed: December 31, 2020
    Publication date: June 30, 2022
    Inventors: Itai Koren, Zvika Plotkin