Equifax has announced the launch of Credit Abuse Risk, a new predictive model designed to help lenders better identify and manage first-party fraud.
The new product has been introduced in response to the rising financial impact of first-party fraud, as lenders face growing exposure to risks such as loan stacking and credit washing, which can distort credit profiles and undermine repayment behaviour.
Equifax provides data-driven insights that enable organisations to make informed decisions across the credit lifecycle, including prequalification, account origination and portfolio management. Its solutions are widely used by financial institutions to assess consumer risk, verify identities and support compliant lending practices.
Credit Abuse Risk is a predictive model that uses FCRA-regulated data to uncover atypical behavioural patterns linked to first-party fraud. The model is designed to detect two key activities: loan stacking, where individuals apply for multiple loans in quick succession with no intention to repay, and credit washing, where consumers attempt to remove accurate but negative information from their credit files.
These behavioural patterns can be identified at multiple stages of the credit journey, including prequalification offers, account origination and portfolio review. This enables lenders to adjust loan terms using FCRA-compliant insights and apply more targeted, risk-based decisioning.
Key features of Credit Abuse Risk include enhanced behavioural insights into atypical credit activity, targeted decisioning across the lifecycle of fraud, comprehensive portfolio protection across all credit tiers, and actionable intelligence through real-time scoring with adverse action reason codes.
The model also forms part of Equifax’s broader layered fraud defence strategy, working alongside its Synthetic Identity Risk tools to provide a more complete view of identity legitimacy and repayment risk. Financial institutions can validate the model’s effectiveness through a secure evaluation test using their own historical data.
Equifax chief product officer for U.S. Information Solutions 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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Copyright © 2026 RegTech Analyst
Copyright © 2026 RegTech Analyst
