Biometric Anti-Fraud (BAF) Description

3DiVi’s Biometric Anti-Fraud (BAF) is an advanced identity verification technology leveraging AI-powered computer vision and NIST FRVT top-ranked face recognition algorithms. The solution includes liveness detection and user session data monitoring to safeguard digital onboarding and eKYC processes from fraud. It operates across iOS, Android, and web platforms, offering SDKs for easy embedding in apps and browsers. The system employs a zero-trust approach where each user session generates unique parameters, preventing replay attacks and session reuse by fraudsters. Multiple algorithms work together to detect spoofing attempts using printed photos, masks, or video playback. 3DiVi BAF provides scalable performance adaptable to varying load requirements. Quick-start API integration enables smooth deployment, while on-premise options ensure full control and data privacy without sending user data to 3DiVi. This makes it ideal for sectors requiring high-security identity verification.

Pricing

Free Trial:
Yes

Integrations

No Integrations at this time

Reviews

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Company Details

Company:
3DiVi
Year Founded:
2011
Headquarters:
United States
Website:
3divi.ai/

Media

Get Started
Recommended Products
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free

Product Details

Platforms
Web-Based
Windows
Mac
Linux
iPhone App
iPad App
Android App
On-Premises
Types of Training
Training Docs
Live Training (Online)
Customer Support
Online Support

Biometric Anti-Fraud (BAF) User Reviews

Write a Review
  • Previous
  • Next