Patents by Inventor Michael Alan SLAWINSKI

Michael Alan SLAWINSKI 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).

  • Computer user authentication using machine learning
    Patent number: 11893096
    Abstract: Systems and methods are described herein for computer user authentication using machine learning. Authentication for a user is initiated based on an identification confidence score of the user. The identification confidence score is based on one or more characteristics of the user. Using a machine learning model for the user, user activity of the user is monitored for anomalous activity to generate first data. Based on the monitoring, differences between the first data and historical utilization data for the user determine whether the user's utilization of the one or more resources is anomalous. When the user's utilization of the one or more resource is anomalous, the user's access to the one or more resource is removed.
    Type: Grant
    Filed: December 2, 2021
    Date of Patent: February 6, 2024
    Assignee: Cylance Inc.
    Inventors: Garret Florian Grajek, Jeffrey Lo, Michael Thomas Wojnowicz, Dinh Huu Nguyen, Michael Alan Slawinski
  • Computer user authentication using machine learning
    Patent number: 11301550
    Abstract: Systems and methods are described herein for computer user authentication using machine learning. Authentication for a user is initiated based on an identification confidence score of the user. The identification confidence score is based on one or more characteristics of the user. Using a machine learning model for the user, user activity of the user is monitored for anomalous activity to generate first data. Based on the monitoring, differences between the first data and historical utilization data for the user determine whether the user's utilization of the one or more resources is anomalous. When the user's utilization of the one or more resource is anomalous, the user's access to the one or more resource is removed.
    Type: Grant
    Filed: September 5, 2017
    Date of Patent: April 12, 2022
    Assignee: Cylance Inc.
    Inventors: Garret Florian Grajek, Jeffrey Lo, Michael Thomas Wojnowicz, Dinh Huu Nguyen, Michael Alan Slawinski
  • Computer User Authentication Using Machine Learning
    Publication number: 20220092159
    Abstract: Systems and methods are described herein for computer user authentication using machine learning. Authentication for a user is initiated based on an identification confidence score of the user. The identification confidence score is based on one or more characteristics of the user. Using a machine learning model for the user, user activity of the user is monitored for anomalous activity to generate first data. Based on the monitoring, differences between the first data and historical utilization data for the user determine whether the user's utilization of the one or more resources is anomalous. When the user's utilization of the one or more resource is anomalous, the user's access to the one or more resource is removed.
    Type: Application
    Filed: December 2, 2021
    Publication date: March 24, 2022
    Inventors: Garret Florian GRAJEK, Jeffrey LO, Michael Thomas WOJNOWICZ, Dinh Huu NGUYEN, Michael Alan SLAWINSKI