In the sixth class of the Stripe course we see the Radar information panel, which informs us of all the operations likely to be fraudulent, and how to accept or reject them.
And it is that in digital businesses, one of the main problems that can exist, both from the point of view of the buyer and the seller, is fraud. The buyer wants to make sure that the seller will fulfill his part, and the seller that the buyer will pay without problems.
In this sense, Stripe is doing an impressive job thanks to Radar, a tool that draws on Stripe’s “learning machine”, which thanks to its algorithm alerts us to possible fraudulent operations. Let’s see how it works!
As you can see, if Stripe detects any suspicious operation, it can not only alert us via email, but we can even not authorize the payment.
Let’s imagine that we have a person with an IP in Russia who tries to pay with a card from the United States, and claims to be based in Spain. It’s like less, a little suspicious, right? Well, these are some of the rules that are already established.
By default we will see that we cannot create our own rules unless we ask Stripe for permission to do so, but we can activate some of them, to make the filter to be applied more restrictive.
In this class I recommend you take a look at the number of trades you have that Stripe has detected as “moderate” or “high” risk level, and consider whether it’s worth using those stronger filters in the lists and rules, or whether It is not necessary in your case.
As always, if you have any doubt or question, you can send it through the support form of the subscriber intranet. See you in the next lesson! 🙂
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