Features
Comprehensive Fraud Detection Capabilities
Advanced hybrid system combining machine learning with expert rules for maximum protection.
Machine Learning Detection
Advanced ML models trained on transaction patterns to identify fraud with high accuracy. Risk scores from 0-100 for every transaction.Rule-Based Engine
Customizable business rules for specific fraud scenarios. Define conditions for geo-distance, velocity, device changes and more.Explainable AI
SHAP-based explanations for every decision. Understand exactly why a transaction was flagged as suspicious.Real-time Monitoring
Live dashboard with instant updates. Monitor transactions as they happen with real-time risk assessment.Manual Review
Dedicated interface for reviewing suspicious transactions. Approve or reject with full context and AI explanations.Trust Score System
Dynamic client trust scores based on transaction history. Trusted clients get faster approvals, risky ones face more scrutiny.Process
How Anti-Fraud Detection Works
Every transaction goes through a multi-stage analysis pipeline.
1
Transaction Received
System captures all transaction details and extracts features
2
ML Analysis
Machine learning model calculates fraud probability score
3
Rule Evaluation
Business rules check for specific fraud patterns
4
Decision
Auto-approve, manual review, or block based on risk score
Thresholds
Risk Score Decision Logic
Final risk score determines the automated action for each transaction.
| Risk Score | Action | Description |
|---|---|---|
| 0 - 30% | Auto-Approve | Low risk transaction, processed automatically |
| 30 - 60% | Enhanced Checks | Additional rule-based verification applied |
| 60 - 80% | Manual Review | Sent to employee for human verification |
| 80 - 100% | Auto-Block | High risk transaction, automatically blocked |
Ready to Protect Your Transactions?
Start using our anti-fraud platform today and secure your financial operations.
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