Card-Not-Present Fraud Prevention

Stripe's Radar scores every payment with machine learning and gives it a risk level. Here is what the score means and what you can change.

A high-risk flag in Shopify is a strong warning, not a verdict. Here is how to read it, what Shopify already did, and what to check before you ship.

A medium fraud analysis result in Shopify is a request for a second look, not a verdict. Here is how to read it and decide.

CNP fraud is the biggest online fraud problem. Here is a set of habits, in layers, that a small merchant can run at checkout.

What your risk engine looks at before an order is authorized, and what you can set yourself.

Someone is running stolen card numbers through your checkout in bulk. Here is what they are doing, what it costs you, and how to shut it down.

Return fraud drains money through your own refund button. Here is how to spot the patterns in your order data and what to do about them.

Someone logs in with a stolen password and shops on a saved card. Here is how to catch it before the order ships and the chargeback lands.

No card, no reader, no way to see the buyer. Card not present fraud is the risk every online checkout carries, and here are the layers that reduce it.

A stolen login can cost you more than one order. Here is how to spot a takeover and stop it before the money moves.

Shopify scores each order for fraud risk before you fulfill it. Here is where the risk level lives, what it means, and what to do next.

A thief logs into your customer's account, not yours. Here is how that turns into fraud at your checkout, and what to watch for.

The card is real. The buyer is real. The dispute comes later, on purpose or by mistake. Here is how to see it coming.

How AI and machine learning actually catch fraud at checkout, in plain English, and what to look for when you pick a tool.

A fraud score turns a pile of risk signals into one number. Here is how to read it, act on it, and know when it is wrong.