Patents by Inventor Gilad Michael Elyashar

Gilad Michael Elyashar 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: 20230071347
    Abstract: A recommendation system for recommending a target feature value for a target feature for a target deployment is provided. The recommendation system, for each of a plurality of deployments, collects feature values for the features of that deployment. The recommendation system then generates a model for recommending a target feature value for the target feature based on the collected feature values of the features for the deployments. The recommendation system applies the model to the features of the target deployment to identify a target feature value for the target feature. The recommendation system then provides the identified target feature value as a recommendation for the target feature for the target deployment.
    Type: Application
    Filed: November 14, 2022
    Publication date: March 9, 2023
    Inventors: Efim HUDIS, Hani-Hana NEUVIRTH, Daniel ALON, Royi RONEN, Yair TOR, Gilad Michael ELYASHAR
  • Patent number: 11533240
    Abstract: A recommendation system for recommending a target feature value for a target feature for a target deployment is provided. The recommendation system, for each of a plurality of deployments, collects feature values for the features of that deployment. The recommendation system then generates a model for recommending a target feature value for the target feature based on the collected feature values of the features for the deployments. The recommendation system applies the model to the features of the target deployment to identify a target feature value for the target feature. The recommendation system then provides the identified target feature value as a recommendation for the target feature for the target deployment.
    Type: Grant
    Filed: May 16, 2016
    Date of Patent: December 20, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Efim Hudis, Hani-Hana Neuvirth, Daniel Alon, Royi Ronen, Yair Tor, Gilad Michael Elyashar
  • Patent number: 10516675
    Abstract: A method and a computing system for allowing just-in-time (“JIT”) access to a machine is provided. A system receives a request to allow JIT access to the machine. The system directs a port of the machine to be opened for a JIT access period. The system also directs the machine to alter security relating to applications allowed to execute on the machine for the JIT access period. During the JIT access period, the machine can be accessed via the port with the altered security relating to applications. After the JIT access period, the system directs the port to be closed and directs the security to return to the unaltered security.
    Type: Grant
    Filed: May 25, 2017
    Date of Patent: December 24, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Gilad Michael Elyashar, Royi Ronen, Efim Hudis
  • Publication number: 20180205736
    Abstract: A method and a computing system for allowing just-in-time (“JIT”) access to a machine is provided. A system receives a request to allow JIT access to the machine. The system directs a port of the machine to be opened for a JIT access period. The system also directs the machine to alter security relating to applications allowed to execute on the machine for the JIT access period. During the JIT access period, the machine can be accessed via the port with the altered security relating to applications. After the JIT access period, the system directs the port to be closed and directs the security to return to the unaltered security.
    Type: Application
    Filed: May 25, 2017
    Publication date: July 19, 2018
    Inventors: Gilad Michael ELYASHAR, Royi RONEN, Efim HUDIS
  • Publication number: 20170207980
    Abstract: A recommendation system for recommending a target feature value for a target feature for a target deployment is provided. The recommendation system, for each of a plurality of deployments, collects feature values for the features of that deployment. The recommendation system then generates a model for recommending a target feature value for the target feature based on the collected feature values of the features for the deployments. The recommendation system applies the model to the features of the target deployment to identify a target feature value for the target feature. The recommendation system then provides the identified target feature value as a recommendation for the target feature for the target deployment.
    Type: Application
    Filed: May 16, 2016
    Publication date: July 20, 2017
    Inventors: Efim Hudis, Hani-Hana Neuvirth, Daniel Alon, Royi Ronen, Yair Tor, Gilad Michael Elyashar