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Monty Faidley Phones & Addresses

  • Smyrna, GA
  • Kennesaw, GA
  • 1446 Dolcetto Trce NW, Kennesaw, GA 30152 (404) 386-3253

Work

Position: Production Occupations

Education

Degree: Associate degree or higher

Publications

Us Patents

Systems And Methods For Detecting Identity Theft Of A Dependent

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US Patent:
20160012561, Jan 14, 2016
Filed:
Jul 9, 2015
Appl. No.:
14/794899
Inventors:
- Boca Raton FL, US
Samantha Gwinn - Washington DC, US
Cindy Loizzo - Boca Raton FL, US
Monty Faidley - Kennesaw GA, US
Bill Haas - Pompano Beach FL, US
Karen Robinson - Wellington FL, US
International Classification:
G06Q 50/26
G06Q 50/16
G06Q 40/00
G06F 17/30
G06Q 40/02
Abstract:
Certain embodiments of the disclosed technology may be utilized for determining a likelihood of dependent identity misrepresentation, theft, and/or fraud. In an example method, one or more dependent-related records may be received from one or more public, private, and/or governmental sources or databases. The method may include querying one or more public or private databases with at least a portion of personally identifiable information (PII) from the received dependent-related records. The method may include receiving a plurality of independent information in response to the querying. The method can include determining an indication of one or more matching records. The method can include determining one or more indicators of dependent identity fraud, and outputting, for display, the one or more indicators of fraud.

Systems And Methods For Estimating Probability Of Identity-Based Fraud

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US Patent:
20150199784, Jul 16, 2015
Filed:
Mar 25, 2015
Appl. No.:
14/667977
Inventors:
- Boca Raton FL, US
Andrew John Bucholz - Alexandria VA, US
Marlene Thorogood - Boca Raton FL, US
Lea Smith - Savage MN, US
Jennifer Paganacci - Delray Beach FL, US
Monty Faidley - Kennesaw GA, US
Steve Lappenbusch - Beaverton OR, US
International Classification:
G06Q 50/26
G06Q 20/40
Abstract:
Certain embodiments of the disclosed technology may include systems and methods for detecting fraud. A method is provided that includes: receiving entity-supplied information comprising at least a name, a social security number (SSN), and a street address associated with a request for a payment or a benefit; querying one or more databases with the entity-supplied information; receiving a plurality of information in response to the querying; determining a validity indication of the entity supplied information; disambiguating the entity-supplied information responsive to the determined validity indication; scoring, based at least in part on a comparison of the disambiguated entity-supplied information with at least a portion of the plurality of independent information, one or more parameters; determining one or more indicators of fraud based on the scoring; and outputting, for display, one or more indicators of fraud.

Systems And Methods For Detecting Fraud

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US Patent:
20140149304, May 29, 2014
Filed:
Feb 3, 2014
Appl. No.:
14/170892
Inventors:
- Boca Raton FL, US
Scott M. Straub - Washington DC, US
Monty Faidley - Kennesaw GA, US
Johannes Philippus de Villiers Prichard - Boynton Beach FL, US
Jesse CBD Shaw - Saint Cloud MN, US
Dermot O'Mahony - Washington DC, US
David Yeschek - Boynton Beach FL, US
Jennifer Paganacci - Delray Beach FL, US
Marlene Thorogood - Boca Raton FL, US
Mark Loizzo - Boca Raton FL, US
Assignee:
LexisNexis Risk Solutions FL Inc. - Boca Raton FL
International Classification:
G06Q 50/26
US Classification:
705325
Abstract:
Certain embodiments of the disclosed technology may include systems and methods for detecting fraud. According to an implementation of the disclosed technology, a method is provided that includes: receiving entity-supplied information including at least a name, a social security number, and a mailing address associated with a request for a payment or a benefit from a government agency; querying one or more public or private databases with the entity-supplied information; receiving a plurality of independent information in response to the querying; determining, based at least in part on a comparison of the entity-supplied information with at least a portion of the plurality of independent information, indicators of fraud; and outputting, for display, zero or more indicators of fraud.
Monty L Faidley from Smyrna, GA Get Report