Fighting fraud on all fronts with custom fraud modelling and machine learning

Fighting fraud on all fronts with custom fraud modelling and machine learning

Source: The Paypers

Amador Testa of Emailage explains the role of specialised fraud modelling, custom fraud modelling and network intellingence in providing robust, real-time fraud prevention
With access to faster and cheaper computing, fraudsters have shifted their targets to more profitable weaker points in almost every vertical.

It’s wise to expect every part of your process to be continuously and thoroughly examined for potential weaknesses and opportunities. If, and when, weaknesses are found—you can bet word will spread like wildfire on fraudster communities and forums. Of course, any fraud solution you choose should be adaptable for your business case. Examples include your transaction types, customer profiles, and which regions you operate in.

But today’s world requires you to be able to quickly identify and stop risky transactions, while still approving the majority of your good volume. Here is how you can employ custom fraud modelling to do that. Read entire article…

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