公开(公告)号：US11811616B1

公开(公告)日：2023-11-07

申请号：US18173654

申请日：2023-02-23

Applicant: Bank of America Corporation

Inventor： Stephen Jack Williams ,  Richard Scot ,  Rebecca Lynn Pietro ,  John Shelton ,  Abelardo Espinoza ,  Nathan Alexander Dalpini ,  Vani Reddy Nareddy

IPC: H04L41/16 ,  H04L67/306 ,  H04L43/02 ,  H04L43/062 ,  H04L43/04

CPC classification number: H04L41/16 ,  H04L43/02 ,  H04L43/04 ,  H04L43/062 ,  H04L67/306

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.

公开(公告)号：US20240031243A1

公开(公告)日：2024-01-25

申请号：US18469952

申请日：2023-09-19

Applicant: Bank of America Corporation

Inventor： Stephen Jack Williams ,  Richard Scot ,  Rebecca Lynn Pietro ,  John Shelton ,  Abelardo Espinoza ,  Nathan Alexander Dalpini ,  Vani Reddy Nareddy

IPC: H04L41/16 ,  H04L67/306 ,  H04L43/04 ,  H04L43/062 ,  H04L43/02

CPC classification number: H04L41/16 ,  H04L67/306 ,  H04L43/04 ,  H04L43/062 ,  H04L43/02

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.

公开(公告)号：US12088477B2

公开(公告)日：2024-09-10

申请号：US18469952

申请日：2023-09-19

Applicant: Bank of America Corporation

Inventor： Stephen Jack Williams ,  Richard Scot ,  Rebecca Lynn Pietro ,  John Shelton ,  Abelardo Espinoza ,  Nathan Alexander Dalpini ,  Vani Reddy Nareddy

IPC: H04L41/16 ,  H04L43/02 ,  H04L43/04 ,  H04L43/062 ,  H04L67/306

CPC classification number: H04L41/16 ,  H04L43/02 ,  H04L43/04 ,  H04L43/062 ,  H04L67/306

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.

公开(公告)号：US11658881B1

公开(公告)日：2023-05-23

申请号：US17854365

申请日：2022-06-30

Applicant: Bank of America Corporation

Inventor： Stephen Jack Williams ,  Richard Scot ,  Rebecca Lynn Pietro ,  John Shelton ,  Abelardo Espinoza ,  Nathan Alexander Dalpini ,  Vani Reddy Nareddy

IPC: H04L41/16 ,  H04L67/306 ,  H04L43/04 ,  H04L43/062 ,  H04L43/02

CPC classification number: H04L41/16 ,  H04L43/02 ,  H04L43/04 ,  H04L43/062 ,  H04L67/306

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.