Security

Fraud Prevention

Learn about built-in tools and best practices to detect and prevent fraudulent transactions.

Fraud prevention is essential for any fintech SaaS platform. It protects your business, your customers, and your revenue from unauthorized transactions, chargebacks, and malicious activity. Implementing robust fraud prevention measures helps maintain trust and compliance while minimizing financial losses.

Common Types of Fraud

  1. Card Not Present (CNP) Fraud – Fraudsters use stolen card details for online transactions.

  2. Account Takeover (ATO) – Unauthorized users gain access to customer accounts.

  3. Friendly Fraud – Customers intentionally dispute legitimate charges to get refunds.

  4. Chargeback Fraud – Multiple false chargebacks are filed to exploit the payment system.

  5. Identity Theft – Fraudsters use stolen personal information to create fake accounts.

Key Fraud Prevention Strategies

Payment Verification

  • Use AVS (Address Verification System) and CVV checks to validate cardholders.

  • Require multi-factor authentication (MFA) for sensitive actions.

  • Flag suspicious transactions for manual review.

Behavioral Analytics

Monitor customer behavior to detect anomalies:

  • Unusual login locations or devices

  • Multiple failed login attempts

  • Sudden high-value transactions

// Example: Flagging unusual transaction amounts
function isSuspiciousTransaction(amount, average) {
    return amount > average * 3; // Flag if >3x average
}

Risk Scoring

Assign risk scores to transactions based on multiple factors:

  • Payment method and origin

  • IP address and device fingerprinting

  • Customer history and transaction frequency

Risk Factor

Weight

New Device / IP

0.3

High Transaction Amt

0.4

Previous Chargebacks

0.3

Transactions with a risk score above your threshold can be automatically blocked or sent for manual review.

Anti-Fraud Tools

Leverage built-in or third-party tools for fraud detection:

  • Real-time monitoring dashboards

  • Machine learning models to detect patterns

  • Blacklists and whitelists for high-risk or trusted users

Customer Education

Educate customers to reduce fraud exposure:

  • Encourage strong, unique passwords

  • Enable MFA

  • Notify them about phishing attacks and scams

Handling Fraudulent Transactions

  1. Immediate Action – Block the account or card used for fraud.

  2. Investigation – Collect transaction logs, IP addresses, and device info.

  3. Customer Communication – Notify affected customers promptly.

  4. Chargeback Management – Respond to chargeback claims with evidence of legitimate transactions.

Best Practices

  • Continuously update fraud detection rules based on emerging threats.

  • Regularly audit your payment processing and security protocols.

  • Maintain compliance with PCI DSS and local financial regulations.

  • Combine automated monitoring with manual review for high-risk transactions.

Balancing friction with security is key — excessive verification may annoy legitimate customers, while weak controls increase fraud risk.

Need help? Contact Support

Questions? Contact Sales

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