Think you’ve seen the world’s dumbest criminals? You ain’t seen nothing yet!

Introducing the Sift Science Fraud-o-graphic, where we highlight some of the simplest ways to ID bad users. Online fraudsters can be just as feeble-minded as as those robbers that live-tweet their heists and thieves that leave behind their own drivers licenses.

Hundreds of newly hatched accounts on your site created on a single device? Chances are good it’s fraud. More than a family-sized number of users with a single billing address using your app? Hmm, sounds fishy. Old-school fraudsters have a hard time fooling the state-of-the-art systems that companies have in place to stop fraud. Need a good “no, duh” or face-palm moment? Check out the fraud-o-graphic!

But when cyber criminals get inventive, you need a smarter system. Tricksy hobbits and savvy fraudsters can’t stand up to machine learning, and our fraud-o-graphic shows you why.

 

feeble minded fraudsters

Now this fraud-o-graphic is just a snapshot of what an online shop owner might see. The numbers are always changing, and customizing machine learning to your needs is how you accurately stop fraudsters fast.

Curious about machine learning? You can download our free e-book that explains the power of machine learning and see for yourself how it’s being used to fight fraud.

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