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Online payment fraud can lead to significant financial losses and damage your business's reputation. It's a constant threat in the digital world.

Common types include credit card theft, identity theft, and 'friendly fraud' where a customer disputes a legitimate charge.

To combat fraud, Stripe offers Stripe Radar. It's a powerful, built-in fraud prevention tool that works automatically with every transaction processed through Stripe.

Radar uses advanced machine learning to identify and block fraudulent payments before they impact your business.

How does Radar work its magic? It leverages machine learning (ML). This means it learns from data, constantly adapting to new fraud patterns.

Stripe processes billions of dollars annually, giving Radar a massive dataset to train on. It sees fraud trends across millions of global businesses.

For every transaction, Radar assigns a risk score. This score indicates how likely a payment is to be fraudulent. A higher score means higher risk.

Based on this score, payments are categorized into different risk levels: high, medium, or low. You can see these scores in your Stripe Dashboard.

One of Radar's core features is automatic blocking. Without any configuration, Radar instantly blocks payments it identifies as high risk.

This proactive approach helps prevent chargebacks and financial losses, saving you time and money.

Sometimes, payments aren't clearly high-risk but aren't entirely safe either. These 'medium risk' transactions are placed in your Review Queue.

You can then manually inspect these payments in the Stripe Dashboard. You decide whether to accept the payment or refund it.

Radar works behind the scenes on every payment you process. Here's a simple Java example of creating a PaymentIntent. Radar automatically analyzes this transaction for fraud:

Radar uses a wide array of data points to assess risk. These include:

• Card details: Bank, country, card type
• IP address: Location, proxy use
• Customer history: Past payments, successful/failed attempts
• Shipping/billing address: Discrepancies, speed of entry
• Device information: Browser, operating system

To summarize, Stripe Radar has three main actions it takes for a payment:

• Block: High-risk payments are automatically declined.
• Review: Medium-risk payments are flagged for manual inspection.
• Allow: Low-risk payments are processed without interruption.

This tiered approach gives you control while automating the bulk of fraud prevention.

Based on what you've learned, what is the primary method Stripe Radar uses to prevent fraudulent transactions?

Great job! You've now got a solid understanding of Stripe Radar.

You learned that Radar is Stripe's built-in, ML-powered fraud prevention tool. It assigns risk scores, automatically blocks high-risk payments, and flags suspicious ones for your review. This helps protect your business from financial losses and chargebacks.