You Need Tailored ML Models to Effectively Prevent Fraud

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Every organization that conducts transactions online battles fraud. However, not every organization faces the same types of fraud nor do they approach fraud prevention in the same way. Some businesses present a higher value target for fraudsters, so they deal with more risks and get hit by a wider range of fraud attacks and methods of abuse. Also, companies have different risk appetites, product offerings, operational structures, locations, and sales strategies—and these things may....

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