Products

Use cases

Fight fraud with the strength of the Stripe network

  • Use ML that actually works

    Radar helps detect and block fraud for any type of business using machine learning that trains on data across millions of 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 and can lead to lower acceptance rates and lost revenue. Radar can help you distinguish fraudsters from customers and apply Dynamic 3D Secure to high-risk payments.

  • Get protection that adapts to you

    Our machine learning infrastructure lets us retrain models—including ones customized for your business—every day. Radar’s algorithms adapt quickly to shifting fraud patterns and to your unique business.

Smarter Fraud Protection with Machine Learning

Effective systems should identify fraud without blocking legitimate payments. Read our primer on how machine learning can produce predictive models of fraud from large sets of data.

Frictionless Authentication with 3D Secure 2

Additional authentication can help separate customers from fraudsters. Read our guide on how the new version of 3D Secure can reduce fraud without compromising on user experience.

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 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.

  • 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.

  • Device fingerprints

    Tie multiple signals into a single device profile.

  • Historical snapshots

    Spot recurring patterns across years of historical data.

  • Proxy detection

    Identify IP spoofing and proxy usage.

  • Thousands more

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

Simple, transparent pricing

Radar’s machine learning

Fraud protection powered by billions of data points across the Stripe network. Stripe’s SCA logic is built-in, helping maximize exemptions and protect your conversion rates. 

14Ft

per screened transaction In addition to payment processing fees.

Waived for accounts with standard 1.4% + 85Ft pricing

You’re viewing our website for Hungary, but it looks like you’re in the United States. 
Switch to the United States site