Preventing Loan Stacking with Identity Resolution

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Loan stacking occurs when borrowers rapidly obtain multiple loans from different lenders before new debt appears in credit records, sometimes using altered personal details, stolen identities, or synthetic identities to evade basic checks, increasing default risk and lender losses. The proposed response is real-time identity resolution that links applications through biometric verification, liveness detection, document checks, device and IP intelligence, and cross-referenced contact and behavioral data, enabling lenders to identify connections despite minor discrepancies in applicant information. Didit presents its platform as an integrated solution combining these functions, including face matching and database searches, fraud signals, customizable verification workflows, and reusable KYC, with the aim of flagging suspected stacking before funds are disbursed. According to the account, such systems can reduce fraud and defaults, improve credit-risk decisions and operational efficiency, and preserve a smoother application process for legitimate borrowers.

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