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A risk score that flags synthetic identities (personas assembled from stolen, borrowed, or fabricated personal information) during account opening and credit applications. SentiLink analyzes the relationships between identity elements such as name, SSN, date of birth, and address against its data network to surface fabricated and manipulated identities that pass traditional KYC checks. US banks, credit unions, lenders, and fintechs use the score to block synthetic fraud at onboarding while minimizing friction for legitimate applicants.
A score targeting first-party fraud, where real consumers misrepresent their own identity or intent, including bust-out schemes and abuse of credit and deposit products. It evaluates application and identity signals to estimate the likelihood that an applicant intends to defraud rather than repay. Financial institutions use it alongside the synthetic score to separate genuinely risky applicants from good customers, reducing losses on lending and deposit accounts without rejecting large numbers of legitimate users.
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