evan_v

> what you will find is that fraudsters change their game and you have to evolve your model, even once you get it customized.

That is exactly why I want a machine learning model, so that it can constantly be modifying and improving itself. Even better that it has a network of many clients, so that it can see lots of fraud examples and IP addresses where fraud is happening in real time.

> you are going to find that fraudsters have already been trained by other Sift customers.

The opposite should be true: fraud attempts on other Sift customers have helped improve your fraud protection.

> who wants semi-effective fraud protection?

If I can get immediate marginal improvement inexpensively with a probability that the fraud protection becomes very effective, then yeah...sounds good. Sign me up.

I disagree: Sift can be easy to use. One of the features of Sift is its flexibility. You can make it easy to use and get some additional anti-fraud protection. Or you can make it more complicated but get better results.

Disclosure: I'm a happy current customer whose model isn't quite right yet, but is getting there.