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Spoofing (presentation attack)

Overview

Spoofing in biometrics refers to presenting fake inputs such as photos, videos, masks, or synthetic media to impersonate a legitimate user. Attackers attempt to bypass facial recognition, fingerprint scanners, or voice authentication during onboarding or login.
Regulators highlight spoofing as a major risk in remote KYC, urging adoption of liveness detection and PAD. Banks, fintechs, and ID verification providers use AI-driven tools to analyze texture, depth, and micro-movements to detect spoofing. Preventing spoofing is essential to ensure only genuine customers gain access to services, reducing fraud and AML risks.

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Biometric Verification

Biometric Verification

Authenticate users securely using facial, fingerprint, or liveness biometrics powered by AI. Prevent identity spoofing and stay compliant.

One Touch KYC

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

Database Verification

Verify user information instantly by connecting to trusted databases across jurisdictions. Ensure accuracy, compliance, and faster onboarding with real-time data checks.

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