Prevent fraud by ensuring that customers are truly present, thanks to Sumsub's people-friendly biometrics
Prevent spoofing attacks
Stop even the most sophisticated frauds, like hyper-realistic masks, look-alikes and deepfakes.
Speed up access to your product
Onboard and authenticate users with a biometric check that takes a few seconds.
Prooface is Sumsub’s in-house liveness technology which easily detects spoofing attempts while authenticating real users in seconds.
The system ensures that users are physically present by creating a 3D FaceMap which is continuously referenced for authorizing their actions going forward (transactions, logins, etc).
quick biometric checks secure the user verification process.
reduces cases of multi-accounting.
eliminates the need for physical presence during identity verification.
ensures the true user initiates transactions, account deletion or other key steps.
use biometrics to control access to doors, gates, and other entry points.
How Liveness is used in other Sumsub’s products
Selfies are no longer a reliable verification method, as they can be easily manipulated or even purchased on the darkweb. That’s why Sumsub uses biometric checks, backed up by AI algorithms that detect popular and emerging attack vectors.
Physical/digital images & paper masks
Masks, wax figures & lifelike dolls
High resolution videos
Deepfakes, lookalikes & doppelgangers
* This image was modified using ‘deepfake’ technology in good faith and for general information purposes only.
Our liveness requires just one action from the user, which can be easily performed anytime, anywhere. This results in higher pass rates across the globe.
Works easy and compatible with:
Glasses, beards and makeup
Slow internet connection
All modern smart devices and web cameras
Prooface leverages industry-standard data encryption and regular penetration tests to protect you against advanced cyberthreats, such as reverse engineering, man-in-the-middle, and replay attacks. Plus, our liveness solution has been proven secure by iBeta tests, performed in accordance with ISO/IEC 30107-3.
Use Sumsub to integrate the services you need via Web SDK, Mobile SDK, or our RESTful API.
Don’t worry about interruptions with 99.9% uptime.
Co-Founder and CEO at Oobit
We love the fact that Sumsub provides the user with either a verified acceptance or rejection immediately. This saves users’ valuable time and makes the onboarding experience far more convenient and user friendly.
CEO at Shift Markets
Switching to Sumsub has streamlined our KYC approval process while also providing stronger security and an improved user experience. Our migration was quick and we couldn't be happier with the results.
Getting started is really easy!
Hop into a short demo call with our experts and start authenticating your users.
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By definition, a 3D facial liveness detection check (or liveliness check) is a part of the digital ID authentication process. Through this active check, the system takes a number of selfie photos and validates the user and determines if it’s a real person or a passive fake. It’s often a part of a larger KYC verification process, also matching the user’s authentication data against existing profiles as well.
A liveness detection check for face recognition can be performed within the verification suite’s interface, which is embeddable into other apps. It can be performed via webcam, smartphone, and other camera-equipped devices. Usually, all you need to do is move your head around while the system takes a number of photos (instead of a video) and analyzes each one for signs of spoofing.
There are many different liveness solutions on the market, each with its own set of features and underlying technology. These algorithms can be extremely complex, and analyze separate details of the face, look for distortions, and use AI to process vast amounts of data to determine spoofing attempts. In the case of Sumsub, we have our own in-house technology we use in Prooface, our best liveness product.
Spoofing is an act of substituting a real person based on a machinated fake, such as a mask or a screen with a photograph of another person. There are many different spoofing methods, and spoofing detection is designed to render them all ineffective.