Patents by Inventor Matthieu GOUTET

Matthieu GOUTET 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).

  • Patent number: 12056710
    Abstract: A processor is adapted to automatically generate and validate rules for monitoring suspicious activity by: For a first period of time, collecting a first group of transactions, automatically identifying and storing key indicators from the transactions, and automatically storing which of the transactions are pre-identified as fraudulent. Based on the key indicators and the pre-identified fraudulent transactions, training a learning algorithm and, with the learning algorithm, generating a decision tree of logical predicates including the key indicators. Based on the decision tree, generating a plurality of rules, each of which incorporates only one logical predicate from each layer of the decision tree. For a second period of time: collecting a second group of transactions, and generating a quality metric for each rule, by automatically testing the rules against the second group of transactions, and identifying a subset of rules for which the quality metric exceeds a threshold.
    Type: Grant
    Filed: February 8, 2022
    Date of Patent: August 6, 2024
    Assignee: ACTIMIZE LTD.
    Inventors: Harshit Juneja, Matthieu Goutet, Pravin Dehiphale
  • Publication number: 20230252477
    Abstract: A processor is adapted to automatically generate and validate rules for monitoring suspicious activity by: For a first period of time, collecting a first group of transactions, automatically identifying and storing key indicators from the transactions, and automatically storing which of the transactions are pre-identified as fraudulent. Based on the key indicators and the pre-identified fraudulent transactions, training a learning algorithm and, with the learning algorithm, generating a decision tree of logical predicates including the key indicators. Based on the decision tree, generating a plurality of rules, each of which incorporates only one logical predicate from each layer of the decision tree. For a second period of time: collecting a second group of transactions, and generating a quality metric for each rule, by automatically testing the rules against the second group of transactions, and identifying a subset of rules for which the quality metric exceeds a threshold.
    Type: Application
    Filed: February 8, 2022
    Publication date: August 10, 2023
    Inventors: Harshit JUNEJA, Matthieu GOUTET, Pravin DEHIPHALE