Identity Verification (IDV)
Overview
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.
FAQ
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Biometric Verification
Authenticate users securely using facial, fingerprint, or liveness biometrics powered by AI. Prevent identity spoofing and stay compliant.
One Touch KYC
Simplify the Know Your Customer (KYC) process with AI and sophisticated fraud detection algorithms to provide a seamless, efficient, and highly secure user verification.
Database Verification
Verify user information instantly by connecting to trusted databases across jurisdictions. Ensure accuracy, compliance, and faster onboarding with real-time data checks.