The Seven Habits of Highly Fraudulent Users

Information Security buzz

This post from Izzy at SiftScience describes patterns culled from 6 million transactions over a three month sample. The “fraud” sample consisted of transactions confirmed fraudulent by customers; “normal” samples consisted of transactions confirmed by customers to be non-fraudulent, as well as a subset of unlabeled transactions.  These patterns are useful to Security Operations Center (SOC) teams who “hunt” for these things.

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