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Veriff utilises facial recognition through selfie for authentication

Veriff launches facial biometrics (via selfies) to match users with existing session data

by Joshua Althauser
11th April 2022
Reading Time: 2 mins read
Veriff utilises facial recognition for authentication

Veriff, a global provider of identity verification solutions for businesses and consumers alike, has released an enhanced version of their Face Match technology that utilizes facial biometrics (via selfies) to match users with existing session data

This new update speeds up the process of eliminating friction while facilitating smoother user experiences- all thanks to this simple step.

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There is a current market demand for strong customer authentication and continuous KYC across all businesses online.

As the cryptocurrency sector thrives on the concept of frictionless digital currency exchanges, verification continues to be a necessity for organizations operating in this space as the need for real end-user security grows.

Veriff’s AI-powered Face Match technology confirms that a returning user is who they claim to be by using biometric analysis to identify and mitigate fraudulent activities such as account takeover and identity theft, eliminating user friction in the process.

Kaarel Kotkas, Veriff founder and CEO, shared:

“For the past six years we’ve been working to build the most accurate verification service on the market. Now we are ready to launch a continuous authentication Face Match product that represents another step in the identity workflow. It enables biometrics to secure accounts throughout their whole lifetime making account takeover fraud history.”

Users of Veriff’s enhanced Face Match solution will receive:

  • Increased protection against account takeovers. Face Match will need to verify user actions such as a new bank account being added, a large withdrawal request, or a suspicious login from a different region.
  • Reset credentials via a secured and trusted solution. If users need to reset their crypto account credentials, Face Match ensures only the account owner is accessing existing accounts.
  • Maintained user security through one single set-up of the solution. Avoid time-consuming re-authentication processes with existing users and customers.
  • Increased asset protection.  Veriff’s biometric analysis increases safety across the board in a simple, secure, transparent and trustworthy manner.

This might be your next read: RDvault named one of the UK’s top 10 tech startups by Tech Nation

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Tags: Artificial IntelligenceMachine LearningVeriff
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