Equifax has announced the launch of Credit Abuse Risk, a new predictive model designed to help lenders identify and mitigate first-party fraud while supporting more confident lending decisions.
The new product has been introduced in response to the growing financial impact of first-party fraud across the lending ecosystem, as individuals increasingly exploit credit systems through practices such as loan stacking and credit washing, creating significant losses for financial institutions and increasing overall portfolio risk.
Equifax operates at the intersection of data and financial services, providing credit information, analytics, and identity solutions to businesses, governments and consumers worldwide. Its technology supports organisations across sectors including banking, insurance, telecommunications and retail, helping them make informed decisions around risk, compliance and customer engagement.
Credit Abuse Risk is a predictive model that uses FCRA-regulated data to uncover atypical behavioural patterns associated with two common forms of first-party fraud. These include loan stacking, where individuals apply for multiple loans in rapid succession with no intention of repayment, and credit washing, where consumers attempt to remove accurate negative information from their credit profiles. The model can be applied during prequalification, account origination or portfolio reviews, enabling lenders to adjust loan terms based on compliant insights.
The product offers several features aimed at improving fraud detection and credit decisioning. These include enhanced insights into behavioural indicators of abnormal activity, targeted decisioning across the lifecycle of fraud, and comprehensive portfolio protection across all credit tiers.
It also provides actionable intelligence through real-time, regulated scoring and adverse action reason codes, allowing lenders to make compliant credit decisions at speed.
Credit Abuse Risk also forms part of a broader, layered fraud defence strategy at Equifax. It is designed to work alongside Synthetic Identity Risk tools to provide lenders with a more complete view of identity legitimacy and hidden repayment risks, strengthening overall portfolio resilience against increasingly sophisticated fraud tactics.
Financial institutions interested in validating the model’s effectiveness can evaluate Credit Abuse Risk through a secure, data-driven testing environment using their own historical data, enabling them to assess potential performance before full deployment.
Equifax chief product officer Felipe Castillo said, “By focusing on application behavior in real-time, Credit Abuse Risk quickly helps to reduce the potential for fraud and related costs. This supports a more confident lending environment, and helps keep credit available for consumers.”
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