Stripe Radar is an AI-powered fraud detection and prevention system built into the Stripe payment processing platform. Developed by Stripe and launched in 2016, Radar uses machine learning models trained on data from hundreds of millions of transactions processed across millions of businesses on the Stripe network to identify and block fraudulent payments in real time. The system evaluates every transaction against hundreds of signals including card information, behavioral patterns, device fingerprinting, IP geolocation, transaction velocity, and network-wide fraud patterns to generate a risk score that determines whether a payment should be allowed, blocked, or flagged for manual review. Stripe Radar is included by default in all Stripe payment integrations at no additional cost, providing baseline fraud protection to every Stripe user. Radar for Fraud Teams, an advanced tier, adds customizable rules, manual review queues, and additional machine learning features for businesses with dedicated fraud prevention teams, priced at $0.07 per screened transaction. Radar's machine learning models continuously adapt to evolving fraud patterns, learning from outcomes across the entire Stripe network to improve detection accuracy over time. The system supports 3D Secure dynamic authentication, which intelligently determines when to request additional cardholder verification based on risk assessment, reducing friction for legitimate customers while adding security for higher-risk transactions. Stripe Radar integrates with Stripe's broader payment infrastructure including Stripe Checkout, Stripe Elements, and the Stripe API, requiring no additional integration effort for existing Stripe users. The platform provides a dashboard with fraud analytics, dispute tracking, and performance metrics. Stripe Radar is used by businesses of all sizes, from startups to enterprise companies processing billions of dollars in payments.

AI Analytics Tools

Stripe Radar provides fraud analytics through detailed dashboards that track fraud rates, dispute trends, rule performance, and risk score distributions. Businesses can analyze transaction patterns, evaluate the effectiveness of custom rules, and monitor key metrics to continuously refine their fraud prevention approach using data-driven insights from the Radar platform.

AI Automation Tools

Stripe Radar automates the fraud review process by using machine learning to evaluate every transaction in milliseconds, automatically blocking high-risk payments and approving legitimate ones without manual intervention. For Fraud Teams users, customizable rules and automated workflows further reduce the need for human review while maintaining low fraud rates.

AI Cybersecurity

Stripe Radar is an AI-powered cybersecurity tool for payment fraud prevention that evaluates transactions against hundreds of signals including device fingerprinting, behavioral patterns, and network-wide fraud intelligence. Its machine learning models continuously adapt to emerging fraud techniques, providing real-time protection for online businesses against card testing, stolen credentials, and sophisticated fraud schemes.

AI Data Analysis

Stripe Radar performs real-time data analysis on every transaction, evaluating hundreds of signals including transaction metadata, device information, behavioral patterns, and cross-network intelligence from millions of businesses. The platform provides fraud analytics dashboards and performance metrics that help businesses understand their fraud landscape and optimize prevention strategies.

AI Finance Tools

Stripe Radar protects the financial integrity of online businesses by using AI to detect and block fraudulent payment transactions in real time. The system reduces chargebacks, prevents revenue loss from fraud, and supports dynamic 3D Secure authentication that balances security with conversion rates, making it an essential financial risk management tool for e-commerce businesses.