Identity Verification (IDV)

Identity Verification (IDV) is the broader process of evaluating evidence and signals to determine if a claimed identity is legitimate. It includes document checks (authenticity, MRZ/NFC), biometric match with liveness, database/regulatory screenings (sanctions, PEP, adverse media), and contextual fraud signals. Effective IDV is layered and risk-based, escalating steps for higher-risk users or transactions. Outputs feed customer risk ratings, KYC records, and authentication policies. Accuracy hinges on capture quality, model performance, and exception management; governance demands explainability, audit trails, and data minimization. When done well, IDV reduces fraud, speeds onboarding, and satisfies regulators, while preserving user experience via orchestration and intelligent fallbacks.