Fraud Prevention

AI-Powered Fraud Detection

Protect your business with advanced machine learning algorithms that detect and prevent fraudulent transactions in real-time.

Fraud Protection Features

Machine Learning
AI models trained on billions of transactions
  • • Real-time risk scoring
  • • Behavioral analysis
  • • Pattern recognition
  • • Adaptive learning
Risk Monitoring
Continuous monitoring of transaction patterns
  • • Velocity checks
  • • Geolocation analysis
  • • Device fingerprinting
  • • IP reputation scoring
3D Secure
Strong customer authentication
  • • SCA compliance
  • • Liability shift protection
  • • Frictionless authentication
  • • Challenge optimization

Risk Assessment

Low Risk (0-30)

Transactions are automatically approved. These payments show normal patterns and come from trusted sources.

Medium Risk (31-70)

Transactions may require additional verification. 3D Secure authentication or manual review may be triggered.

High Risk (71-100)

Transactions are blocked or require manual review. These payments show suspicious patterns or come from high-risk sources.

Implementation

Configure Fraud Rules
Set up custom rules for your business
const paymentIntent = await payaiml.paymentIntents.create({
  amount: 2000,
  currency: 'usd',
  payment_method_types: ['card'],
  metadata: {
    order_id: '12345',
    customer_id: 'cus_123',
  },
  // Enable fraud detection
  fraud_detection: {
    enabled: true,
    risk_threshold: 50, // Block transactions above this score
    require_3ds: 'automatic', // Trigger 3DS based on risk
  },
});

// Check fraud score in webhook
if (event.type === 'payment_intent.succeeded') {
  const fraudScore = event.data.object.fraud_score;
  if (fraudScore > 70) {
    // Handle high-risk transaction
    await flagForReview(event.data.object.id);
  }
}

Fraud Prevention Impact

99.9%
Fraud Detection Accuracy
$2.4B
Fraud Prevented Annually
0.05%
False Positive Rate

Protect your business today

Enable AI-powered fraud detection and reduce chargebacks by up to 85%.