- Data, analytics, and technology company Equifax unveiled Credit Abuse Risk, a new solution to help lenders fight first-party fraud.
- The new offering leverages machine learning to identify common first-party fraud tactics such as credit washing and loan stacking.
- News of Equifax’s Credit Abuse Risk predictive model comes on the heels of the launch of the company’s Synthetic Identity Risk tool. The solution empowers institutions to identify when fraudsters are using fake identities to set up credit accounts and obtain loans.
A new offering from international data, analytics, and technology company Equifax will help protect lenders from first-party fraud. Credit Abuse Risk is a new predictive model that leverages FCRA-regulated data to spot fraud tactics such as credit washing and loan stacking. The model will help lenders make more confident lending decisions.
“By focusing on application behavior in real time, Credit Abuse Risk quickly helps to reduce the potential for fraud and related costs,” Equifax Chief Product Officer for US Information Solutions Felipe Castillo said. “This supports a more confident lending environment and helps keep credit available for consumers.”
In a world of phishing and deepfakes, first-party fraud is a type of financial crime that often goes overlooked in conversations about fraud prevention. First-party fraud, unlike third-party fraud, involves fraud committed by the actual customer or account holder rather than by an external party impersonating someone else. Credit Abuse Risk is designed to detect two specific forms of first-party fraud: loan stacking, in which an individual applies for multiple loans in a short period of time with no intention of repaying the debt, and credit washing, in which an individual attempts to remove accurate but negative information from their credit report. Credit Abuse Risk identifies the behaviors associated with these types of fraud during prequalification, account origination, or portfolio review, enabling lenders to adjust loan terms based on FCRA-compliant insights.
Powered by machine learning, Credit Abuse Risk offers enhanced insights derived from behavioral indicators that detect atypical credit activity, and provides targeted decisioning that addresses the lifecycle of fraud. Credit Abuse Risk features comprehensive portfolio protection covering all credit tiers and actionable intelligence that empowers lenders to make real-time, regulated decisions on credit terms. This includes FCRA-compliant scoring with adverse action reason codes to ensure transparency in the event of application denials, restrictive credit term modifications, and related actions.
Credit Abuse Risk is part of Equifax’s suite of fraud solutions and works alongside the company’s Synthetic Identity Risk tools. Introduced earlier this month, Equifax’s Synthetic Identity Risk uses machine learning algorithms to detect fraud patterns—such as those related to synthetic identity fraud—that are often difficult to spot using traditional methods. Synthetic identity fraud occurs when a fraudster combines aspects of a real identity with fake data to create a new, fictitious identity. The fraudster then uses these fictitious identities to open credit accounts and secure loans on which they eventually stop making payments. The fact that these synthetic identities often include real data and appear in mostly legitimate means that these frauds can be difficult to detect and can persist for long periods of time. Equifax estimates that charge-offs per known synthetic identity cost companies on average $13,000.
“Synthetic identity fraud is a rapidly growing threat impacting the consumer lending ecosystem,” Castillo said. “With Synthetic Identity Risk, Equifax strengthens lenders’ fraud defenses, helping them to uncover hidden risks and ultimately shift from reactive loss recovery to proactive prevention. In doing so, they not only reduce their financial losses but they (also) safeguard and build long-term trust with their legitimate customers.”
Headquartered in Atlanta, Georgia, Equifax made its Finovate debut at FinovateFall 2011 in New York. The company’s differentiated data, analytics, and cloud technology help financial institutions, companies, employers, and public agencies make better decisions with more confidence. Along with Experian and TransUnion, Equifax runs one of the three major credit reporting agencies in the US, has nearly 15,000 employees around the globe, and operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia-Pacific region.
Equifax is publicly traded on the NYSE under the ticker EFX and has a market capitalization of $24 billion.
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