 That last 2% that are checks, we want to make sure that we have a lot of protection and prevention around those checks. So we've recently implemented a tool which uses machine learning to actually look for anomalies on those 40 million checks that we issue. And if we see an anomaly, that we actually flag that check and let the financial institution know that there's a potential problem with it.