The minFraud network is powered by all users of the minFraud services.
The minFraud services are used by more than 7,000 businesses from around the world. This includes sole proprietors, Fortune 100 companies, and everything in between. The modeling behind minFraud's risk scoring takes into account all the transactions seen on this network of businesses over the last year. This comes to more than 3 billion transactions.
These transactions help the minFraud service to build reputation data for a number of digital identifiers. The minFraud network allows us to flag suspicious IP addresses, shipping addresses, email addresses, phone numbers, and devices on the basis of their activity across our network.
If we see a fraudulent transaction on one of the 7,000 merchants, the risk score will be raised when that fraudster goes to make a purchase at any one of the others.
With so many different kinds of businesses and transactions in the minFraud network, we can monitor risk across industries and verticals more carefully. This means that smaller businesses will benefit from risk patterns emerging in larger businesses and institutions, and larger businesses will benefit from the risk signals we see in smaller businesses that might get missed in a larger volume of transactions.
Machine learning and data analysis on these billions of transactions is also based on behavior. Users of the minFraud services are not only benefitting from known fraud, but there are combinations of behavior that we have learned are higher risk, which affects risk scores across the network.
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