Patents by Inventor Jean-Francois LEGAULT

Jean-Francois LEGAULT 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: 20190095919
    Abstract: The invention relates to a method and system that combines payment data and cyber fraud indicators to identify potential fraud in payment requests from a client. The system comprises: a memory that stores and maintains a list of known fraud characteristics and cyber fraud indicators; and a computer processor, coupled to the memory, programmed to: receive, via an electronic input, a payment instruction from the client; identify one or more cyber fraud indicators associated with the payment instruction; apply payment decisioning to merge the one or more cyber fraud indicators to the payment instruction; generate a risk score based on the payment decisioning to determine whether the payment instruction should be executed; and automatically apply the payment decisioning to the payment instruction.
    Type: Application
    Filed: September 22, 2017
    Publication date: March 28, 2019
    Inventors: Jean-Francois LEGAULT, Josh POPE, Wayne A. WILLOUGHBY, D.J. KNOEDLER, Rahul SAXENA, Anish PYNE, Rohan M. AMIN
  • Publication number: 20190068604
    Abstract: The invention relates to a method and system that aggregates client data and cyber indicators to authenticate a client. The system comprises: a computer server comprising at least one computer processor and coupled to the memory, programmed to: receive, via an electronic input, an authorization request from a requester for access to an account; identify a client identifier associated with the authorization request; using the client identifier, retrieve, from the memory, a client profile, wherein the client profile is based on an aggregation of client data, client device data, claims data and cyber data; generate a risk score based on the aggregated combination of the client data, client device data, claims data and cyber data to determine whether the requester is authenticated to access the account; and automatically apply an authentication determination to the authorization request.
    Type: Application
    Filed: August 23, 2017
    Publication date: February 28, 2019
    Inventors: Jean-Francois LEGAULT, D.J. KNOEDLER, Neil GORIN, Kevin LISTON
  • Publication number: 20190044966
    Abstract: The invention relates to digital cloud forensics. An embodiment of the present invention applies collection processes and tools to cloud infrastructure as a service to provide a more efficient and faithful representation of evidence. An embodiment of the present invention applies innovative concepts to retrospectively investigate ephemeral instances which may have long since terminated. This innovative process provides organizations a strategy to provide forensic investigations within either a public or private cloud environment.
    Type: Application
    Filed: August 3, 2018
    Publication date: February 7, 2019
    Inventors: Michael P. VEGA, James REGAN, Matteo MICHELINI, Jean-Francois LEGAULT
  • Publication number: 20180373780
    Abstract: The invention relates to database abstraction and data linkage. According to an embodiment of the present invention, the invention takes a variety of attributes (e.g., names, IP address, device identifiers, addresses, phone numbers, account numbers, etc.) and returns the online activity, demographic data, account data and/or other activity, events and data associated with that attribute. The tool may then iterate over each attribute and return a network of connections having multiple degrees of association. The innovative tool may be linked to known bad actor data, and perform automated searches on this data to proactively alert potentially fraudulent activity. The tool may also be developed to add attributes and apply machine learning to the associations to more intelligently describe the returned network. Further, the tool may be developed to describe larger networks having multiple degrees of connections.
    Type: Application
    Filed: June 26, 2018
    Publication date: December 27, 2018
    Inventors: Robert PASCARELLA, Neil GORIN, D.J. KNOEDLER, Jean-Francois LEGAULT