One single API is all you need to cover all aspects of fraud prevention & detection as well as authentication.
With multiple years of experience analysing thousands of transactions, our machine learning algorithms are best in class. And they just keep getting smarter.
Biometric authentication has been tested thoroughly and delivers banking-grade security against different types of spoofing attacks across all devices.
Integrates seamlessly into your business logic and let's you decide on the desired security level for a specific use case.
Only a glance at the camera needed. Delivers the same seamless user experience for biometric authentication across all channels.
No storage of personal information. Complex encryption of all biometric data used for person identification -- no use of person identification technology (face recognition) for liveness detection and age estimation.
State-of-the art biometrics technology
Biometric liveness detection to detect inanimate spoof artefacts, giving you peace of mind when verifying customers remotely
Proprietary algorithm for certified passive liveness detection from a single 2D image. Based on a unique approach that requires no user interaction and yet delivers best-in-class security against different attack vectors.
Based on face analysis, devoid of revealing the identity of your customer - and, without the need for verification of your ID documents.Learn more ..
In-depth analysis of facial features extracted from the selfie submitted by the customer in your application. Delivers a liveness score which expresses the likelihood that the uploaded image represents a live human being as opposed to a fake representation.Learn more ..
Prevent spoofing attacks via facial liveness detection to confirm that a biometric is of a live, real person.
Remote identity verification
Validate the identity of a person through facial liveness to combat fraud in the usage of services.
Identity verification and binding
Binding the vetted claimed identity to the individual through biometrics to prevent fraud following the initial remote onboarding by re-verifying customers.
Use the secure biometric identity of a person to authorize transactions (online and in-store) and to combat fraud.
Use decentralized identifiers (DIDs) to bind a connected device to a digital identity of a person, so only authorized identities can interact with it.Learn more ..
Documentation at http://docs.progeny.tech
API reference at https://docs.progeny.tech/our-apiLearn more ..