How Beam Works
Our advanced models and machine learning create adaptive models that learn how to catch new schemes as they are invented. Our software analyzes hundreds of factors about millions of financial transactions and searches for abnormal trends and activity. Beam learns from the results of your analyst’s investigations to weight the relative importance of different observed abnormalities depending on how indicative they are of illegal activity. This allows for rapid improvement and an up-to-date compliance solution. Our “transparent box” approach means that you’ll have clear records of all software activity, and ready-made regulator-approved reporting.
Beam approaches suspicious activity detection differently. We utilize dynamic segmentation to identify and cluster similar accounts allowing us to apply machine learning algorithms to each cluster individually greatly improving accuracy. By comparing similar account types, we can isolate and understand irregular behavior better. This equates to fewer false positives and higher catch rates.