Why do face authentication systems fail — and how can we catch those failures before users churn or fraud gets through?
Our latest update to 3DiVi BAF (Biometric Anti-Fraud) focuses on exactly that — giving businesses deeper control, faster debugging, and higher confidence in face authentication results.
Our latest update to 3DiVi BAF (Biometric Anti-Fraud) focuses on exactly that — giving businesses deeper control, faster debugging, and higher confidence in face authentication results.
Key Updates
Expanded Metadata for Face Auth Attempts
Each auth attempt now includes a rich set of system-level data — covering device specs (even battery status), camera parameters, network info, geolocation, and regional environment settings. This helps identify bots, detect spoofing, and compare expected vs. actual device conditions.
Face Crop Preview on the Attempt Page
Quick visual validation of how well the system captured a face. Helps teams verify recognition accuracy at a glance and improves confidence in outcomes.
Reference ID for Applicants
Assign custom IDs to users directly in applicant reports — speeding up applicant search and filtering across large databases.
Web Component Log Collection
A new log collection service for a web component speeds up incident handling and support diagnostics.
Updated NPM Packages
Upgrades across detection and recognition modules for better performance and improved face match accuracy.
3DiVi BAF is built for businesses creating next-gen digital onboarding, secure access, and zero-friction KYC workflows across banking, fintech, and beyond.
Try the free online demo today — experience robust multi-factor face authentication firsthand.
Try the free online demo today — experience robust multi-factor face authentication firsthand.
