Have been on the other side of that call and those questions. I had straight answers for each of them. But if I worked in a bank, I wouldn't use an ML behavior

Have been on the other side of that call and those questions. I had straight answers for each of them. But if I worked in a bank, I wouldn't use an ML behavioral security tool to stop bad guys, I'd use it to identify, model, and detect top traders so I could double down on their bets. Seriously, if the model actually worked, why would you waste it catching hackers? Arguably, if the underlying tech is not useful for that, it's not useful for anything. What it comes down to is, "the confusion matrix is the product." The mistake ML tech companies seem to make is thinking that their product applies to a given vertical (banking, health, govt, etc) , but in fact the balance of that confusion matrix applies to companies whose growth stage defines their needs, imo.