Equifax Launches Credit Abuse Risk Model to Help Protect Lenders Against the Rising Financial Impact of First-Party Fraud
New Behavioral Insights Detect Potential Credit Washing or Loan Stacking Activities to Drive More Confident Lending Decisions
As the financial impact of first-party fraud continues to rise, Credit Abuse Risk was developed to uncover atypical patterns indicative of two types of fraudulent activities: loan stacking, when an individual quickly applies for multiple loans with no intent to repay those loans, and credit washing, when a person tries to remove accurate, but negative information from a credit report. These patterns can be identified during prequalification offers, account origination, or portfolio review. This allows lenders to modify loan terms based on FCRA-compliant insights.
"By focusing on application behavior in real-time, Credit Abuse Risk quickly helps to reduce the potential for fraud and related costs," said
Credit Abuse Risk features include:
- Enhanced insights: The model focuses on behavioral indicators that provide a clear view of atypical credit activity.
- Targeted decisioning: Specifically designed to address the lifecycle of fraud, from the building of inflated credit profiles to a sudden influx of disputes on unpaid accounts that falls outside the normal range, without limiting the important consumer protections to correct inaccurate or incomplete credit data.
- Comprehensive portfolio protection: Provides lenders with important insights across all credit tiers.
- Actionable intelligence: Allows lenders to make real-time, regulated decisions on credit terms for a consumer, providing an FCRA-compliant score with adverse action reason codes.
A Comprehensive, Layered Defense
Credit Abuse Risk is a vital component of the Equifax layered fraud defense strategy to help inform better lending decisions. It works alongside Synthetic Identity Risk tools to provide a complete view of identity legitimacy and hidden repayment risk.
For more information on Credit Abuse Risk and the Equifax suite of fraud solutions, please visit our website. Financial Institutions who prefer to validate effectiveness on their own historical data can evaluate the Credit Abuse Risk model through a secure, data-driven evaluation test.
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