Stripe Radar | Payment and Credit Card Fraud Prevention (2024)

Stripe processes payments from 197 countries for every industry, company size, and business model. Even if a card is new to your business, there’s a 91% chance it’s been seen before on the Stripe network.

By learning from millions of global businesses processing billions in payments each year, Radar can assign risk scores to every payment and automatically block many high-risk payments.

Radar scans every payment using thousands of signals from across the Stripe network to help detect and prevent fraud—even before it hits your business.

Radar ingests data from every layer of the financial stack, integrating checkout flow data, rich payments data, and card network and bank information to assess fraud risk.

Stripe’s partnerships with Visa, Mastercard, American Express, and leading banks let us use data like TC40s, SAFE reports, and early dispute notifications to help identify fraudulent charges before they’re disputed.

Radar is fully integrated with the rest of Stripe, so our systems can instantly use rich payment information— such as customer details, shipping and billing addresses, and other properties—to improve machine learning performance.

Stripe’s checkout tools automatically incorporate certain buyer patterns from your website and mobile app to help detect anomalous payments. Radar uses these signals to map a comprehensive customer path that can accurately predict fraud.

Radar is built for global internet businesses facing evolving fraud threats. Radar constantly tweaks our algorithms, tests which attributes are most relevant, and generates compound signals to help precisely identify and block fraud.

Tie multiple signals into a single device profile.

Spot recurring patterns across years of historical data.

Identify IP spoofing and proxy usage.

Radar scores every transaction by combining multiple signals to help determine whether a payment is fraudulent.