I would argue it is zero sum ("you've got some fraud" vs "you have no fraud") if there is any great volume of transactions and what's being sold is valuable, and/or marketable at a black market price below retail, and/or offers fraudsters liquidity options. I am skeptical because an untrained system is going to make mistakes out of the gate, even if it's trained on oodles of transactions from other businesses. Anti-fraud isn't a one-size-fits-all game.
rbres|8 years ago
The key: everyone is focused on large data sets (breadth of data). We have some of that, but not nearly as much as large processors. We have, however, much more depth (sometimes 10X-20X as much). This allows us to achieve high accuracy in short amounts of time. Often times we'll lose money in the beginning to ensure high approval rates and, in essence, pay for learning data.