Patents by Inventor Brian Carman

Brian Carman 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: 11687861
    Abstract: This disclosure describes techniques for analyzing operational data and applying one or more rule sets to identify issues and/or to determine whether action should be taken to prevent or mitigate a future risk event. In one example, this disclosure describes a method that includes receiving, by a computing system, risk data; generating, by the computing system and based on the risk data and a set of rules, an issue relating to an entity; outputting, by the computing system, a request; responsive to outputting the request, receiving, by the computing system, a response to the issue from the entity; storing, by the computing system, information about the response; receiving, by the computing system, information about a risk outcome associated with the issue; and modifying, by the computing system and based on at least one of the response and the information about the risk outcome, the set of rules.
    Type: Grant
    Filed: July 26, 2021
    Date of Patent: June 27, 2023
    Assignee: Wells Fargo Bank, N.A.
    Inventors: Terri C. Kennell, Danielle K. Moore, Lea C. Faircloth, Brian Carman
  • Patent number: 11074532
    Abstract: This disclosure describes techniques for analyzing operational data and applying one or more rule sets to identify issues and/or to determine whether action should be taken to prevent or mitigate a future risk event. In one example, this disclosure describes a method that includes receiving, by a computing system, risk data; generating, by the computing system and based on the risk data and a set of rules, an issue relating to an entity; outputting, by the computing system, a request; responsive to outputting the request, receiving, by the computing system, a response to the issue from the entity; storing, by the computing system, information about the response; receiving, by the computing system, information about a risk outcome associated with the issue; and modifying, by the computing system and based on at least one of the response and the information about the risk outcome, the set of rules.
    Type: Grant
    Filed: November 6, 2017
    Date of Patent: July 27, 2021
    Assignee: Wells Fargo Bank, N.A.
    Inventors: Terri C. Kennell, Danielle K. Moore, Lea C. Faircloth, Brian Carman
  • Publication number: 20070192243
    Abstract: Methods are provided for identifying errors in data relating to at least one electronic payment transaction request. In one embodiment, the method includes receiving data relating to at least one electronic payment request and analyzing the electronic payment request data based upon a predefined set of rules. Specifically, the data that makes up the electronic payment request data is reviewed to ensure that it meets the predefined rules. A report is then generated that identifies which predefined rule(s) were not met for each type of electronic payment request data that is received. In one example, this process may be repeated until the electronic payment request data of the data file meets the predefined rules for the data types that are included in the data file. Systems are also disclosed.
    Type: Application
    Filed: September 7, 2004
    Publication date: August 16, 2007
    Inventors: Rob Garbarino, Alan Scott, Manju Shashibhushana, Brian Carman
  • Publication number: 20060050684
    Abstract: Systems and methods are disclosed for analyzing binary messages. In one embodiment, the method comprises receiving a binary message at a message analyzer system, obtaining one or more rules for the binary message, and analyzing the binary message with the message analyzer system to determine if the rules are satisfied.
    Type: Application
    Filed: April 18, 2005
    Publication date: March 9, 2006
    Applicant: First Data Corporation
    Inventors: Michael Bangham, Jake Funderburk, Rob Garbarino, Alan Scott, Manju Shashibhushana, Brian Carman