The detection of financial crime, especially money laundering, has remained the same for many years. Our detection systems are based on high level patterns of behavior that are not true indicators of money laundering. In fact, hybrid threat networks are very proficient and understand and evading our detection scenarios. These scenarios are “blunt instruments.” They look for general “red flags” as opposed to true laundering patterns.
At Section 2 we believe that in order to effectively detect financial crime, you need to clearly understand the pattern or typology. Our typology library can act as a reference set for today’s technologies such as artificial intelligence or machine learning models. We can also create detection strategies and logic for rules based systems to minimize false positives and maximize detection. Some of our detection rules have reduced false positives by 70-80%.
Call us today to see how we can help make your detection strategy more efficient and effective.