Verisoul Face Match Logo

Verisoul Face Match

Facial biometric verification for user authentication without government IDs

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Verisoul Face Match Description

Verisoul Face Match is a facial biometric verification solution that enables organizations to verify unique users based on facial recognition without requiring identity documents or government-issued IDs. The product matches users based on their facial features to ensure sign-ups are from real humans while protecting against deepfake attacks. The solution is designed to prevent fake accounts, repeat sign-ups, and bot accounts by verifying that each user is a unique individual. It operates as part of Verisoul's broader account fraud detection platform, which includes device fingerprinting, account linking, and bot detection capabilities. Face Match provides a frictionless authentication method that does not require users to submit sensitive identity data or documentation. The system includes deepfake detection capabilities to identify synthetic or manipulated facial images used in authentication attempts. The product integrates with Verisoul's platform to provide account verification signals that can be used alongside other fraud detection signals like device risk, geolocation, email intelligence, and proxy/VPN detection. Organizations can use Face Match to enforce unique user policies, prevent account sharing, and reduce spam and scam activities. The solution is accessible through Verisoul's API and dashboard, allowing developers to integrate facial verification into their authentication workflows. It supports use cases including preventing repeat sign-ups, blocking fake accounts, detecting bot accounts, and mitigating account takeover attempts.

Verisoul Face Match FAQ

Common questions about Verisoul Face Match including features, pricing, alternatives, and user reviews.

Verisoul Face Match is Facial biometric verification for user authentication without government IDs developed by Verisoul. It is a IAM solution designed to help security teams with Authentication, Fraud Detection, AI.

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