EFRM Module

Enterprise Fraud Risk Management

Stop fraud before it happens with AI-powered behavioral analytics, device intelligence, and real-time ML scoring that learns and adapts continuously.

92% Fraud Prevention
15ms Real-Time Score
$12M+ Avg Annual Savings
Fraud Detection — Live FeedActive Monitoring
Card Not Present Fraud
$3,421
94
Score
BLOCKED
Account Takeover Attempt
$15,200
88
Score
MFA Triggered
Velocity Rule Breach
$890
71
Score
REVIEW
Geo Anomaly Detected
$2,100
65
Score
ALERT
Today: $287,421 in fraud prevented

EFRM Capabilities

AI/ML Fraud Models

Ensemble models including Random Forest, XGBoost, and deep neural networks trained on 2B+ transactions.

Behavioral Analytics

Build dynamic profiles of customer transaction behavior to detect anomalies in real-time.

Device Intelligence

Device fingerprinting, OS/browser analysis, and fraud ring detection across device clusters.

Velocity Checks

Configurable velocity rules across time windows (1min, 1hr, 24hr) and dimensions (amount, count, geo).

Geo Risk Detection

IP geolocation, impossible travel detection, and high-risk country flagging with real-time decisions.

Real-Time Alerts

Sub-15ms fraud scoring with configurable alert thresholds and automated case creation.

Account Takeover Prevention

Multi-factor behavioral indicators including typing patterns, session analytics, and login anomalies.

Case Investigation

Fraud-specific investigation workflows with evidence collection, link analysis, and ring detection.