Patents by Inventor Mark Lunney

Mark Lunney 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).

  • Multi-factor authentication augmented workflow
    Patent number: 10958673
    Abstract: A system and method for a machine learning-based score driven automated verification of a target event includes: receiving a threat verification request; extracting a corpus of threat features; predicting the machine learning-based threat score; evaluating the machine learning-based threat score against distinct stages of an automated disposal decisioning workflow; computing the activity disposal decision, wherein the activity disposal decision informs an action to allow or to disallow the target online activity; receiving the machine learning-based threat score as input into an automated verification workflow; computing whether an automated verification of the target online activity is required or not based on an evaluation of the machine learning-based threat score against distinct verification decisioning criteria of the automated verification workflow; automatically executing the automated verification of the target online activity and exposing results of the automated verification to the subscriber for a
    Type: Grant
    Filed: December 14, 2020
    Date of Patent: March 23, 2021
    Assignee: Sift Science, Inc.
    Inventors: Irving Chen, Shahar Ronen, Mark Lunney, Chloe Chi
  • Systems and methods for machine-learning based digital threat assessment with integrated activity verification
    Patent number: 10897479
    Abstract: A system and method for a machine learning-based score driven automated verification of a target event includes: receiving a threat verification request; extracting a corpus of threat features; predicting the machine learning-based threat score; evaluating the machine learning-based threat score against distinct stages of an automated disposal decisioning workflow; computing the activity disposal decision, wherein the activity disposal decision informs an action to allow or to disallow the target online activity; receiving the machine learning-based threat score as input into an automated verification workflow; computing whether an automated verification of the target online activity is required or not based on an evaluation of the machine learning-based threat score against distinct verification decisioning criteria of the automated verification workflow; automatically executing the automated verification of the target online activity and exposing results of the automated verification to the subscriber for a
    Type: Grant
    Filed: September 4, 2020
    Date of Patent: January 19, 2021
    Assignee: Sift Science, Inc.
    Inventors: Irving Chen, Shahar Ronen, Mark Lunney, Chloe Chi