A primer on machine learning for fraud detection

Radar is a suite of products from Stripe for detecting and preventing fraud. Radar’s core is powered by adaptive machine learning, the result of years of data science and infrastructure work by Stripe’s machine learning teams. Radar’s algorithms evaluate every transaction for fraud risk and take action appropriately. High risk payments are blocked by default, but Radar provides tools so that users can specify when other actions should be taken. Radar is built directly into Stripe and works out of the box. Other fraud prevention solutions generally require a substantial amount of both upfront and ongoing investment. First, businesses must integrate with the solution. This involves engineering work to send data on relevant events and payments and to process the evaluations returned by the service. Second—at least for fraud detection systems…


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