Onboard clients with a superior experience and peace of mind. Ensure that your customer is who they claim to be and prevent unwanted access to their accounts.
The Preventor biometric authentication framework offers high-performance, field-proven face and video liveness detection, and voice recognition.
Fraudulent identification can be challenging to catch. Different jurisdictions make use of a wide variety of fraud prevention tactics that criminals are constantly adapting to.
Preventor regularly updates its documentation capabilities, so you can take advantage of the security measures of identity documents to ensure their authenticity.
ID documents and templates
Countries and territories covered
Preventor combines face recognition, identity proofing, photo matching, and liveness detection technology to replace the manual identity proofing with a seamless onboarding solution.
Use reliable anti-spoofing algorithms and presentation attack detection (PAD) against sophisticated fraud. The facial recognition detects if it is not a real person and avoids deception through artificial intelligence.
Complete multi-factor biometric authentications dashboards and day-to-day operations management combine with a AI risk-base decision engine.
Define and monitor the identity verifications sensitivity to automate the approvals and rejects, reduce manual reviews and false positives in simple UX screens.
The address is an important identification attribute to verify the identity of an individual, its often required to open a bank account, to get a driver license, or to access a government service, is required as part of the know your customer (KYC) process.
The proof of address is a separate document (different from the proof of identity) confirming the current residential address and should be issued in the name of the same person from the proof of identity, also it must be dated within a recent period of time.
Preventor automates the process to read and verify the proof of address document from the user’s device with a simple user experience. A list of acceptable proof of address documents can be configured in the flexible onboarding flows and can be setup for ongoing monitoring in the KYC templates.
Preventor compares one-to-many identities with face and eye recognition using a convolutional neural network (CNN), which can prevent identity theft, fraud, and the creation of duplicate profiles in your database.
It works by comparing two templates – one from the probe image and one from the enrollment database to find a potential match., then a match score is generated for each pair of templates, indicating how similar the two images are.; finally, a match threshold compares with the match score to consider similar enough to be a potential match.
Fraudster attempts to defeat a security mechanism by impersonating a victim with a biometrically matching spoof.
Fraudster attempts to conceal their identity to avoid detection in biometric searches and eliminate. evidence of their activity.
Purchase alternatives, with liveness, matching face, video, and voice offered independently.
To truly adopt a zero-trust security approach, the best solution is to integrate biometrics into your access workflows for full confidence in identity verification.
Case management can be time consuming and tedious work. However, Preventor Case Management makes this process much simpler and more efficient.
We understand the importance of running a business smoothly. That’s why we’ve become relatively obsessed with perfecting our Preventor Open System Platform.
You can quickly integrate your app using our mobile native SDKs, your browser application with our Web SDK and have the responsive look and feel, as well your backend with our Rest-APIs and webhooks, all of them personalized with your branding and your business workflows.