Hi Jason, Thanks for replying and that (no rules just data) is a pretty cool ML + Big Data play. Having worked in this space a bit, I know where the dragons be

Hi Jason, Thanks for replying and that (no rules just data) is a pretty cool ML + Big Data play. Having worked in this space a bit, I know where the dragons be in such an approach. I imagine that you are doing some kind of Pattern Matching: e.g. known Fraudster uses these signals (Browser +OS + Email+Time of shopping + something else... + type of Card) to teach the system what to look for. The real trick is to avoid over training and evolving the patterns to keep pace with the fraudsters by incorporating feedback from the merchants. Can you point to some blog posts/text that provides a sneak peak into the kinds of technology that you use to cut down on false positives?