ATLANTA, March 29, 2016 /PRNewswire/ — Equifax Inc. (NYSE: EFX) has issued several resources to help organizations combat the elusive and increasingly expensive problem of fraud during customer acquisition. The resources describe current fraud scenarios, the background and methods most commonly used to commit this type of fraud, and outline best practices to detect and deter fraud during customer acquisition.
All industries are vulnerable to fraud during customer acquisition as the account opening process can provide fraudsters with direct access to credit, goods, or sensitive data, according to Daniel Jean, Assistant Vice President of Identity and Fraud Product Development at Equifax and author of a white paper about fraud during customer acquisition.
The costs of fraudulent applications are expected to reach an astounding $28.6 billion this year, as reported in Aite Group research, “First-Party Fraud: The Global Battle against Diabolical Charge-Offs.”
“Detecting and deterring fraud is essential in helping organizations manage costs and mitigate risks,” Jean said. “Equifax is committed to using our unparalleled expertise in data analytics to provide companies with effective solutions for detecting fraud – starting at the beginning of the customer life cycle.”
Equifax resources to help organizations combat fraud during customer acquisition include white papers, an infographic, and a series of educational webinars offered through the Association of Certified Fraud Examiners (ACFE).
This afternoon, Jean will lead the first webinar for ACFE members entitled, The Fraud Review Workflow: Improving Application Fraud Detection across Silos. Organizations are often hindered in detecting application fraud because of siloed data, limited analytics, and the inability to quickly update models and rules. Current fraud detection procedures often result in high levels of false positives which require intensive manual review and unhappy customers.
During the webinar, Jean will discuss how to:
- Implement upfront frictionless identity verification tools to limit schemes like synthetic ID fraud
- Employ predictive analytics, including machine learning and neural networks, across multiple data sources
- Apply dynamic rules and logic based on new learning to existing and shared data
- Leverage industry and fraud data exchanges for more effective fraud detection
Click here to learn more about solutions for detecting and deterring fraud and to read the Equifax white papers, “Five Tips to Detect and Deter Fraud during Customer Acquisition” and “Back to the Future: The Resurgence of New Account Fraud.”
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