Liveness Detection software
Secure your platform with AI-powered Liveness Detection
Two out of three companies reported an
increase in fraud in 2024
Introducing Sumsub’s Liveness & Deepfake
Detection technology
Trusted by 4000+ businesses worldwide
Get pass rates up to 99%
Fully compatible with:
- Beards, and makeup
- All nationalities
- Slow internet connection
- All modern smart devices and web cameras
Defend against all forms of fraud
- Deepfakes, lookalikes, doppelgangers
- Physical, digital images and paper masks
- Masks, wax figures and lifelike dolls
- High-resolution videos and AI-avatars
Detect up to 99.98% deepfakes on the first try
Let the numbers
do the talking
Platforms and operators that work with Sumsub save costs and get 240% ROI on average, according to the “Total Economic Impact™ Of Sumsub’s Verification Platform" study by Forrester Consulting.
Designed with security in mind
Sumsub leverages strong data encryption and regular penetration tests to ensure full security against
deepfakes, reverse engineering, man-in-the-middle, and replay attacks. Sumsub’s Liveness has been proven
secure by iBeta tests, performed in accordance with ISO/IEC 30107-3.
Easily integrate your tech stack with Sumsub
Use Sumsub to integrate the services you need via Web SDK, Mobile SDK, or our RESTful API. Alternatively, you can use Unilink to onboard users via a QR code or a link to the verification form without integrating Sumsub at all. Don’t worry about interruptions with 99.996% uptime.
Don’t take our word for it.
Here’s what our clients have to say
- 1 secmedian verification timeOne key benefit is the relationship between Wirex and Sumsub. We have bi-weekly meetings to discuss issues and resolutions, which has been very useful in establishing mutual collaboration and understanding. It was great to note that Sumsub would change its approach to suit us. Real customer service starts when problems arise, and it’s about how we resolve them.
Paul ChapmanGlobal Head of Financial Crime Operations at Wirex - 69 secmedian verification timeSumsub’s solutions automate and expedite Pridepay’s verification process, ensuring accuracy, compliance, and security. Sumsub also enhances the overall user experience, reducing manual effort and risk.
Hugo RemiCEO at Pridepay - 10 secmedian verification timeMany resources were going to manual verification, and we identified potential efficiency gains through automation. In addition, automating verification provided us with specific workflows for user behavior and increased security through better fraud detection and prevention.
Robin WieczorekCTO at wundertax - 89 secmedian verification timeConnecting Sumsub at that moment allowed us to increase the number of clients who passed the verification by 4-5 times compared to the manual review we had done before.
Yehor LastenkoHead of Back Office at Capital.com - 6 secmedian verification timeSince integrating Sumsub, we’ve received positive feedback from our users about the quick signup process and verification time. It takes only a couple of minutes from downloading the app to booking a rental car.
Merilyn IsokBusiness Development Manager at Ideal Baltic OÜ
Choosing Your Ideal Solution?
Let the numbers do the talking: See how we exceed our competitors in key areas, as validated by user reviews on G2.
FAQ
What is face liveness detection?
Face liveness detection is a technology that ensures an actual human is present during identity verification. It prevents fraudsters from using photos, videos, or deepfake technology to bypass authentication. By analyzing facial movements, texture, and depth, face liveness detection helps businesses strengthen their security against identity fraud.
What is the difference between liveness and face recognition?
Liveness recognition verifies that a face is real and physically present, preventing spoofing attacks with fake images or deepfakes. Face recognition, on the other hand, is the process of identifying or verifying an individual by comparing their facial features to a stored database. While face recognition alone can be tricked by spoofed images, video liveness detection ensures the user is live and authentic.
What is the difference between active and passive liveness detection?
Active liveness detection requires the user to perform specific actions, such as blinking, smiling, or moving their head, to confirm they are real. This provides an extra layer of security. On the other hand, passive liveness detection works in the background without requiring user actions, using AI to analyze facial depth, lighting, and micro-expressions.
What is liveness detection for KYC?
Liveness detection for KYC (Know Your Customer) ensures that users verify their identity as physically present and do not use stolen or manipulated biometric data. Biometric liveness detection is crucial to KYC compliance, helping financial institutions, fintech companies, and crypto platforms prevent fraud during onboarding and transactions.
What is the best liveness detection software?
The best face liveness detection software should use AI-powered video liveness detection to identify real-time deepfakes, face masks, and spoofing attempts. It should support active liveness detection, requiring user actions like blinking or smiling, and passive liveness detection, which works in the background without disrupting the user experience. High-quality biometric liveness detection ensures users are physically present, preventing fraud while complying with KYC, AML, and GDPR. A top-tier solution should offer seamless integration, real-time fraud detection, and scalability, handling high verification volumes without slowing down performance.
Sumsub Identity Fraud Report 2024
How easy is it to commit fraud now? Are we dealing with highly skilled hackers, or could it be someone as familiar as your neighbor? What fuels this surge, and how can we protect ourselves?
Prepare to unveil the findings in our latest report.