Predictive Modeling for True-Name Fraud
Request Your Free White Paper Now:

"Predictive Modeling for True-Name Fraud"
Request

Financial institutions can lift consumer confidence, deter fraud attempts, and cut financial losses by predicting identity theft with modeling.

The risk and exposure associated with true-name fraud has sparked demand for advanced solutions that can identify this type of activity at the source: the time of application. By implementing real-time, cost effective solutions with a low false-positive rate, lenders will increase compliance with legislation. This paper includes background on identity theft and summarizes the performance of both the original and the refined models. It is designed to help financial institutions learn more about the challenges of risk modeling for fraud.


Offered Free by: Equifax
See All Resources from: Equifax

Request

Recommended for Professionals Like You:

Thank you

This download should complete shortly. If the resource doesn't automatically download, please, click here.

Thank you

This download should complete shortly. If the resource doesn't automatically download, please, click here.

Thank you

This download should complete shortly. If the resource doesn't automatically download, please, click here.



Copyright © 2016 NetLine Corporation. All rights reserved.
750 University Avenue | Suite 200 | Los Gatos, CA 95032
By submitting a request, your information is subject to TradePub.com's Privacy Policy.
Resources: | FAQ | Legal Notices