Patents by Inventor Amey Farde

Amey Farde 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 intelligently constructing a backbone network graph and identifying and mitigating digital threats based thereon in a machine learning task-oriented digital threat mitigation platform
    Patent number: 11575695
    Abstract: A system and method for fast-detection and mitigation of emerging network fraud attacks includes sourcing digital event data samples associated with one or more online services; executing graph-rendering computer instructions that automatically construct a backbone graph using a subset of features extracted from the sourced digital event data samples, wherein the constructing includes: identifying, as graphical nodes, a first plurality of distinct features of the subset of features; identifying, as graphical edges, a second plurality of distinct features of the subset of features; generating a graphical edge between distinct pairs of graphical nodes comprising a same type of feature of the subset of features based on feature values associated with at least one distinct feature of the second plurality of distinct features; and mitigating, via a digital threat mitigation action, if one or more emerging network fraud attacks is identified based on an assessment of a cluster of networked nodes.
    Type: Grant
    Filed: April 27, 2022
    Date of Patent: February 7, 2023
    Assignee: Sift Sciences, Inc.
    Inventors: Wei Liu, Nicholas Benavides, Yanqing Bao, Gary Lee, Amey Farde, Kostyantyn Gurnov, Ralf Gunter Correa Carvalho
  • SYSTEMS AND METHODS FOR INTELLIGENTLY CONSTRUCTING A BACKBONE NETWORK GRAPH AND IDENTIFYING AND MITIGATING DIGITAL THREATS BASED THEREON IN A MACHINE LEARNING TASK-ORIENTED DIGITAL THREAT MITIGATION PLATFORM
    Publication number: 20220329608
    Abstract: A system and method for fast-detection and mitigation of emerging network fraud attacks includes sourcing digital event data samples associated with one or more online services; executing graph-rendering computer instructions that automatically construct a backbone graph using a subset of features extracted from the sourced digital event data samples, wherein the constructing includes: identifying, as graphical nodes, a first plurality of distinct features of the subset of features; identifying, as graphical edges, a second plurality of distinct features of the subset of features; generating a graphical edge between distinct pairs of graphical nodes comprising a same type of feature of the subset of features based on feature values associated with at least one distinct feature of the second plurality of distinct features; and mitigating, via a digital threat mitigation action, if one or more emerging network fraud attacks is identified based on an assessment of a cluster of networked nodes.
    Type: Application
    Filed: April 27, 2022
    Publication date: October 13, 2022
    Inventors: Wei Liu, Nicholas Benavides, Yanqing Bao, Gary Lee, Amey Farde, Kostyantyn Gurnov, Ralf Gunter Correa Carvalho