AI Fraud Prevention
Biometric Liveness · Deepfake Defense · Real-Time
Fraud doesn't just use stolen cards.
It uses stolen faces. We stop both.
bRUID rEngine is an AI-powered fraud prevention platform that goes beyond traditional transaction scoring. It detects deepfakes, presentation attacks, synthetic identities, and fake biometric attempts in real time - alongside behavioral analytics, velocity checks, and device fingerprinting. Runs parallel to authorization with zero impact on transaction speed.
Risk scoring speed
Parallel to authorization
AI liveness detection
Rule configuration
Traditional fraud systems only check transaction patterns. bRUID rEngine adds a layer no other engine has - biometric threat intelligence powered by ICBA. It catches what rules and ML models alone cannot.
AI models detect AI-generated faces, voice clones, and synthetic video in real time. Catches deepfake attempts during 3DS challenge and biometric verification flows.
Detects printed photos, screen replays, 3D masks, silicone fingerprints, and contact lens iris spoofing. ISO 30107-3 compliant liveness verification.
Identifies fabricated identities that combine real and fake data. Cross-references biometric templates against enrollment records to expose identity fabrication.
Catches gummy fingers, printed iris patterns, voice replay attacks, and injection attacks that bypass device-level biometrics. Server-side ICBA verification as ground truth.
Face, fingerprint, iris, or voice
Depth, texture, micro-movement
GAN artifact & synthetic detection
Spoof & presentation attack check
Server-side identity confirmation
Approve, challenge, or block
bRUID rEngine combines traditional transaction fraud detection with biometric identity threat intelligence - the only engine that stops both stolen cards and stolen faces.
Every transaction scored in under 50ms. Runs parallel to authorization with zero impact on transaction speed. Configurable guaranteed response times with administrator alerts.
Builds cardholder spending profiles over time. Detects deviations in amount, frequency, merchant category, time-of-day, and geographic patterns using ML models.
Multi-dimensional velocity checks - transaction count, cumulative amount, unique merchants, geographic spread, and channel switching within configurable time windows.
Track and fingerprint devices across sessions. Detect emulators, rooted devices, VPNs, proxy connections, IP anomalies, and device cloning attempts.
Business analysts configure fraud rules through a management console - no programming needed. Test strategies safely before deployment. ML identifies outdated or ineffective rules.
Covers card-present, e-commerce, mobile, remote banking, and retail channels. Unified risk scoring across all payment touchpoints with channel-specific rules.
When threats are detected, bRUID rEngine takes immediate action based on risk category and configurable policies.
Block high-risk transactions instantly
Trigger biometric challenge via ICBA
Flag for follow-up, tag for investigation
Add to card, customer, or merchant blacklist
SMS, email, or push alert to cardholder
Auto-generate investigation case
Temporarily restrict card or channel
Regulatory and compliance reporting
Deploy bRUID rEngine - the only fraud prevention platform that combines transaction scoring with biometric liveness checks and deepfake detection.