1 second response time
Our streamlined user experience enables users to authenticate themselves instantly with a simple selfie.
User-centered design
An easy, secure, and safe way for your users to confirm they are who they say they are. No unnecessary actions or extra information is required.
Secure authentication
Prevent unauthorized access or account takeover with liveness detection, fraud checks, and anti-spoofing capabilities.
Seamless identity assurance
Combine biometric authentication with our identity verification solution to provide an added layer of protection.
Ensure hassle-free authentication for your users
Veriff’s Biometric Authentication solution uses AI and facial biometric analysis to swiftly and securely authenticate users, granting instant access to products and services. This fast and fully automated process can be integrated into any stage of the user journey such as account access, high-risk activities, or account recovery.
How Biometric Authentication Works
Veriff’s biometric authentication confirms that a returning user is who they claim to be. Users can authenticate on any device and platform of their choice, as Veriff supports iOS, Android, mobile web, and web SDK or API.
Once the user’s selfie has been enrolled, either from an identity verification session or by taking a biometric enrolment selfie, the user can simply use their face to authenticate themselves.
Conducts real-time analysis of the user's selfie, including image quality checks, liveness detection, and face matching so that you can approve genuine users with confidence
Alongside biometric analysis, Veriff analyzses behavioral, device, and network risk signals in real-time to detect fraudulent activity.
Provides a clear and actionable result with detailed explanations of the events that occurred during the authentication process, empowering you to make an informed final decision 一 whether to allow, deny, or request additional verification.
Passive liveness detection
Veriff validates that the user is real and present during the authentication session without requiring the end user to complete any additional or unnatural actions. Our liveness models are capable of detecting spoof attempts such as presentation attacks using masks or presented screens, or an AI-generated selfie.
Face matching
Artificial intelligence analyzes and compares the biometric template from the authentication session to the stored biometric template from the enrolment session to determine if it's the same user or not
Adaptive technology
AI models adapt to evolving fraud patterns, providing proactive protection against emerging threats. Liveness detection methods to identify synthetic and AI-generated media, face blocklisting, device fingerprinting, and dynamic fraud checks creates a robust security approach without impacting user experience.
Optional background video
Optional background video recording, enables us to conduct advanced fraud prevention checks with minimal input from your users.
Account takeover mitigation
Prevent fraudsters from unauthorized access to your users’ accounts by confirming it is the genuine account holder through a secure selfie authentication method.
Step-up authentication
Dynamically adjust the level of authentication required based on the associated risk. Seamlessly integrate biometric authentication as a step-up authentication method to authorize high-value transactions or high-risk actions.
Account recovery
Selfie-based biometric authentication provides stronger assurance that the user requesting the account recovery is the genuine account holder.
Network and device analytics
In addition to selfie checks, Veriff automatically analyzes over 30 risk signals such as behavioral, network, and device analytics to combat evolving fraud typologies.
User-centred authentication
Our fully automated solution provides a response in under a second, enabling your users to authenticate themselves instantly with a simple selfie and eliminating the burden of remembering and managing complex passwords. Users do not need to leave the journey to receive a one-time passcode or use third-party authenticator apps.
Assisted Image Capture
Veriff uses machine-learning technology to assess client sessions in real-time and guide users during the photo capture process. Clear and actionable user feedback due to poor lighting, glare, cropped ID, and obstructed facial images are just a few examples of how Assisted Image Capture pre-validates images and boosts first-time pass rates.
Cross-platform
Users can complete authentication on any device and platform of their choice that has a user-facing camera. Veriff supports iOS, Android™, mobile web, and web SDK or API.
Flexible enrolment
Depending on the use case or user journey, users can be enrolled either via Veriff’s Identity Verification solution or simply taking an enrolment selfie. The enrolled selfie is stored as a biometric template for analyzing future authentication sessions.
Integrated with IDV
Combine Veriff’s Biometric Authentication with Veriff’s Identity Verification solution to add a layer of security and assurance that the user is bound to a verified identity document. Use the selfie from the IDV enrolment for future authentication sessions.
Explainable decision making
Veriff sends you a clear and actionable result with detailed explanations of the events that occurred during the authentication process, enabling you to make an informed final decision to allow, deny, or request additional authentication from your users.
Fully automated
Fully automated facial analysis technology delivers 1 second response time, enabling users to authenticate themselves instantly with a simple selfie.
Talk to us
Make authentication easy for genuine users
Get in touch with a Veriff expert to learn more about how biometric authentication stops fraud while helping you convert more users.
Securely authenticate users without disrupting the users’ experience
Mitigate unauthorized access or account takeover
Enable secure account recovery or step-up authentication for high-risk activities
Case studies
Certificates
Veriff is compliant with CCPA/CPRA, GDPR, SOC2 type II, ISO 27001, and WCAG Accessibility Guidelines.
ISO/IEC 30107-3, Level 2
UKDIATF Level M1A
UKDIATF Level M1B
UKDIATF Level L1B
CCPA/CPRA
Compliant
WCAG
Version 2.0,
Level AA
GDPR
Compliant
SOC 2 Type II
ISO 27001:2022
ISO 27017
ISO 27018
UK Cyber Essentials
ISO/IEC 30107-3, Level 1
ISO/IEC 30107-3, Level 2
UKDIATF Level M1A
UKDIATF Level M1B
UKDIATF Level L1B
CCPA/CPRA
Compliant
WCAG
Version 2.0,
Level AA
GDPR
Compliant
SOC 2 Type II
ISO 27001:2022
ISO 27017
ISO 27018
UK Cyber Essentials
ISO/IEC 30107-3, Level 1
