Patents by Inventor Mohammed Jouahri

Mohammed Jouahri 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).

  • Systems and methods for digital threat assessment and mitigation using t-digest score distribution representations and percentile-based threat scoring in a digital threat mitigation platform
    Patent number: 12273356
    Abstract: A system and method for quantile-based assessment and handling of digital events in a digital threat mitigation platform includes receiving, via an application programming interface (API), a request from a subscriber to assess a threat of a digital event, computing, using one or more threat scoring machine learning models, a digital threat inference based on one or more corpora of feature vectors associated with the digital event, wherein the digital threat inference includes an uncalibrated digital threat score, retrieving, from a database, a T-Digest data structure of historical digital threat scores of the subscriber, computing, using the T-Digest data structure of historical digital threat scores, a percentile-based threat score based on the uncalibrated digital threat score computed for the digital event, and executing an automated disposal decision computed for the digital event based on at least the percentile-based threat score satisfying automated decisioning instructions of the digital threat mitiga
    Type: Grant
    Filed: May 29, 2024
    Date of Patent: April 8, 2025
    Assignee: Sift Science, Inc.
    Inventors: Wei Liu, Amey Farde, Mohammed Jouahri
  • SYSTEMS AND METHODS FOR DIGITAL THREAT ASSESSMENT AND MITIGATION USING T-DIGEST SCORE DISTRIBUTION REPRESENTATIONS AND PERCENTILE-BASED THREAT SCORING IN A DIGITAL THREAT MITIGATION PLATFORM
    Publication number: 20250007923
    Abstract: A system and method for quantile-based assessment and handling of digital events in a digital threat mitigation platform includes receiving, via an application programming interface (API), a request from a subscriber to assess a threat of a digital event, computing, using one or more threat scoring machine learning models, a digital threat inference based on one or more corpora of feature vectors associated with the digital event, wherein the digital threat inference includes an uncalibrated digital threat score, retrieving, from a database, a T-Digest data structure of historical digital threat scores of the subscriber, computing, using the T-Digest data structure of historical digital threat scores, a percentile-based threat score based on the uncalibrated digital threat score computed for the digital event, and executing an automated disposal decision computed for the digital event based on at least the percentile-based threat score satisfying automated decisioning instructions of the digital threat mitiga
    Type: Application
    Filed: May 29, 2024
    Publication date: January 2, 2025
    Applicant: Sift Science, Inc.
    Inventors: Wei Liu, Amey Farde, Mohammed Jouahri