Patents by Inventor Abelardo Espinoza

Abelardo Espinoza 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).

  • System and method for predicting anomalous requests and preventing anomalous interactions in a network
    Patent number: 12088477
    Abstract: A system for predicting an anomalous request comprises a processor associated with a server. The processor is configured to generate a first set of data objects associated with a first user profile. The processor is configured to compare the first set of the data objects to approved data and audit data to generate a second set of data objects with a set of anomalous data indicators for the first user profile. The processor is further configured to process the second set of the data objects through an anomaly learning model to determine a predictive degree of approval associated with the user profile. The processor is further configured to determine to how to process the user profile based on the predictive degree of approval. The processor is further configured to assign a profile indicator to the user profile.
    Type: Grant
    Filed: September 19, 2023
    Date of Patent: September 10, 2024
    Assignee: Bank of America Corporation
    Inventors: Stephen Jack Williams, Richard Scot, Rebecca Lynn Pietro, John Shelton, Abelardo Espinoza, Nathan Alexander Dalpini, Vani Reddy Nareddy
  • SYSTEM AND METHOD FOR PREDICTING ANOMALOUS REQUESTS AND PREVENTING ANOMALOUS INTERACTIONS IN A NETWORK
    Publication number: 20240031243
    Abstract: A system for predicting an anomalous request comprises a processor associated with a server. The processor is configured to generate a first set of data objects associated with a first user profile. The processor is configured to compare the first set of the data objects to approved data and audit data to generate a second set of data objects with a set of anomalous data indicators for the first user profile. The processor is further configured to process the second set of the data objects through an anomaly learning model to determine a predictive degree of approval associated with the user profile. The processor is further configured to determine to how to process the user profile based on the predictive degree of approval. The processor is further configured to assign a profile indicator to the user profile.
    Type: Application
    Filed: September 19, 2023
    Publication date: January 25, 2024
    Inventors: Stephen Jack Williams, Richard Scot, Rebecca Lynn Pietro, John Shelton, Abelardo Espinoza, Nathan Alexander Dalpini, Vani Reddy Nareddy
  • System and method for predicting anomalous requests and preventing anomalous interactions in a network
    Patent number: 11811616
    Abstract: A system for predicting an anomalous request comprises a processor associated with a server. The processor is configured to parse a user profile from a plurality of user profiles to generate a first set of data objects associated with the first user profile. The processor is configured to compare the first set of the data objects to approved data and audit data to generate a second set of data objects with a set of anomalous data indicators for the first user profile. The processor is further configured to process the second set of the data objects through an anomaly learning model to determine a predictive degree of approval associated with the user profile. The processor is further configured to determine to approve, flag or disapprove the user profile based on the predictive degree of approval. The processor is further configured to assign a profile indicator to the user profile.
    Type: Grant
    Filed: February 23, 2023
    Date of Patent: November 7, 2023
    Assignee: Bank of America Corporation
    Inventors: Stephen Jack Williams, Richard Scot, Rebecca Lynn Pietro, John Shelton, Abelardo Espinoza, Nathan Alexander Dalpini, Vani Reddy Nareddy
  • System and method for predicting anomalous requests and preventing anomalous interactions in a network
    Patent number: 11658881
    Abstract: A system for predicting an anomalous request comprises a processor associated with a server. The processor is configured to parse a user profile from a plurality of user profiles to generate a first set of data objects associated with the first user profile. The processor is configured to compare the first set of the data objects to approved data, audit data, disapproved data to generate a second set of data objects with a set of anomalous data indicators for the first user profile. The processor is further configured to process the second set of the data objects through an anomaly learning model to determine a predictive degree of approval associated with the user profile. The processor is further configured to determine to approve, flag or disapprove the user profile based on the predictive degree of approval. The processor is further configured to assign a profile indicator to the user profile.
    Type: Grant
    Filed: June 30, 2022
    Date of Patent: May 23, 2023
    Assignee: Bank of America Corporation
    Inventors: Stephen Jack Williams, Richard Scot, Rebecca Lynn Pietro, John Shelton, Abelardo Espinoza, Nathan Alexander Dalpini, Vani Reddy Nareddy