Radar helps detect and block fraud for any type of business using machine learning that trains on data across 100,000+ global companies. It’s built into Stripe and requires no additional setup to get started.
Stop blocking legitimate customers
Old ways of combating fraud were never designed for modern internet businesses. Radar can help you distinguish fraudsters from customers more accurately than other systems to increase acceptance rates and revenue.
Get protection that adapts to you
Our machine learning infrastructure lets us retrain thousands of models—including ones customized for your business—every day. Radar’s algorithms adapt quickly to shifting fraud patterns and to your unique business.
Trained with hundreds of billions of data points
Stripe processes payments from 195 countries for every industry, company size, and business model. Even if a card is new to your business, there’s an 89% chance it’s been seen before on the Stripe network.
Strength in numbers
By learning from hundreds of thousands of global businesses processing billions in payments each year, Radar can assign risk scores to every payment and automatically block many high-risk payments.
Better ML outcomes with Stripe-scale data
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.
Better accuracy than third-party tools
Radar ingests data from every layer of the financial stack and integrates data from checkout flows, rich payments data, and info from card networks and banks to assess fraud risk.
Data from financial partners
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.
Data from payments
Radar is fully integrated with the rest of Stripe so our systems can instantly use rich payment information like customer details, shipping and billing addresses, and other properties to improve machine learning performance.
Data from checkout flows
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 is highly predictive of fraud.
Sophisticated signals engineered for impact
Radar is built for global internet businesses facing evolving fraud threats. We constantly tweak our algorithms, test which attributes are most relevant, and generate 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.