Radar is a machine learning-based fraud prevention feature that is built into Stripe's payment system.

Who uses this technology?

General usage

Ecommerce fraud is expected to top $20 billion in 2021, while transactions incorrectly flagged as fraudulent are estimated to cause annual revenue losses of $443 billion – 22x more than the fraud itself!

Stripe’s Radar tool offers a solution to balance this conundrum. It uses an adaptive machine learning system to evaluate the risk level for individual payments in real time. Hundreds of signals and data from millions of businesses that use Stripe are collated to predict whether a payment is fraudulent.

Radar is built into Stripe and does not require additional setup. In addition it offers several powerful features:

  • Radar’s algorithms adapt quickly to shifting fraud patterns and to your unique business.
  • Radar uses data from every layer of the financial stack to assess fraud risk.
  • Platform owners can set custom rules to flag, block, or dynamically apply 3D Secure to high-risk transactions.

 

Popularity

Since Radar is bundled with Stripe’s payment platform it is widely used by 37% of the world’s top 1 million sites.

Marketplace benefits

Our client, an event ticketing marketplace, started noticing an increase in fraudulent transactions with popular events such as the Champion’s League final. 

Radar allowed us to create custom rules for different risk levels. High risk transactions, for instance, are paused until the administrator unblocks it after verification has been done. 

Stripe’s checkout tools also automatically track the platform’s buyer patterns to help detect anomalous payments. For example, if a UK-based buyer mostly uses his card in the UK and France, and Stripe detects that the buyer is paying from Indonesia, the transaction will be flagged as high risk.

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