your clients. Clearly, this way of thinking isn’t working, so shouldn’t we rethink the problem?

Here’s what we think. Financial criminals are always looking for loopholes to stay ahead of being detected. Normal people aren’t. So why base your approach on exceptions and not on the rule? When you focus on regular customer behavior, the anomalies clearly stick out.

This may sound simple. It is also very effective. You drastically reduce false positives and increase true positives as previously undetected patterns now become visible. So you can identify the right cases faster, at lower cost.

This is how it works. Our automated machine learning technology generates detection models. Based on your own raw data and regulatory requirements. It deploys these models in your transaction monitoring system of choice. Because the value isn’t in the system, it’s in the detection models running on it. They enhance the monitoring system to better identify known and yet unknown financial crime.

This makes everyone’s lives so much easier. Your case analysts can now spend their time on meaningful investigations. Your data scientists can get rid of their backlog and focus on other, more bank-specific risks. Your compliance team can explain these transparent models to regulators. Think white box, not black box.

At Sygno we approach financial crime from a clear-cut premise: most of your customers are not criminals. By looking at it this way, we make transaction monitoring more manageable and effective. So you can catch crooks, comply and be in full control.

Why lose any more sleep over it?

Sygno Know good, catch bad