Financial Services & Fintech
Compliant test data for banking and payments
The Compliance Challenge
Financial applications require:
- PCI-DSS compliance: Masked credit card numbers
- SOX compliance: Audit trails, immutable logs
- Realistic transactions: Power-law amounts, temporal patterns
- Fraud detection: Anomalous patterns for ML training
- Multi-currency: Exchange rates, conversions
Why Aphelion?
🔒 PCI-DSS Compliant Masking
- Credit cards: ****-****-****-1234
- CVV: Never stored
- Bank accounts: ******7890
- Tokenization support
💰 Realistic Transactions
- Power-law amounts: Most $10-100, few $10K+
- Temporal patterns: Business hours peak
- Merchant categories: Weighted by industry
- Fraud patterns for ML
📊 Audit-Ready
- Immutable logs: Every transaction
- Change tracking: Who, what, when
- Reconciliation: Balances always match
- SOX compliance ready
Real Example: Payment Processor
aphelion generate examples/payment-processor/schema.json \
--rows 1000000 \
--masking pci-dss \
--seed 42Generated Data:
transaction_id: txn_1a2b3c4d
amount: $47.23
card_number: ****-****-****-1234 (masked)
merchant: "Coffee Shop" (category: food_beverage)
timestamp: 2024-01-15 09:23:45
status: approved
fraud_score: 0.02 (low risk)Result: 1M transactions, realistic amounts, PCI-compliant masking
Compliance Features
- PCI-DSS Level 1: All cardholder data properly masked
- SOX Section 404: Complete audit trails
- GDPR Article 32: Pseudonymization and encryption
- ISO 27001: Information security management
Use Cases
Fraud Detection ML
Train models on realistic transaction patterns with labeled fraud examples
Payment Gateway Testing
Test authorization, capture, refund flows with realistic data
Regulatory Audits
Demonstrate compliance with synthetic, audit-ready data
Performance Testing
Load test with millions of transactions at peak volumes