Banking Fraud Prevention
Modern fraudsters are more sophisticated than ever. They’re well-funded, well-educated and well-organized. They go into offices, sit at their desks and get to business.. Make no mistake about it – they take their job seriously, and their job is to steal your customers’ money.
Making matters worse, modern banking systems are exceedingly complex. Our banking fraud prevention systems were built for a simpler time. Reputation lists, rules engines and rudimentary analytics approaches are only good at catching simple fraud that follows predictable patterns. But the modern fraudster is anything but predictable. They test and reverse engineer your fraud prevention defenses, constantly evolving and evading detection. As a result, most current approaches to banking fraud prevention are inherently antiquated.
Unsupervised Analytics: True Prevention
DataVisor is the first company to deploy unsupervised machine learning at a massive scale to help banking fraud prevention teams. Our approach flips the problem on its head – we don’t rely on prior knowledge of attack patterns. By definition, we stay ahead of the fraudsters and help you prevent banking fraud, not just clean up the damage after it happens.
Our approach is:
“Safeguarding customer data is our highest priority, and we’re constantly looking for any edge we can. Datavisor’s analytics are a critical component of our defenses against fraud and other financial crimes.”