Concentrate on good behavior rather than bad activity with Adaptive Behavioral Analytics
Make investigators’ work more rewarding by focusing on automatically prioritized suspicious alerts
Predict and prevent money laundering with ARIC
ARIC is fuelled by industry-leading technology. It understands normal, ‘good’ behavior to discover anomalies that may indicate money laundering.
Harnessing machine learning and Adaptive Behavioral Analytics, ARIC assesses complex data sets to control and understand risk exposure. At the same time, ARIC minimizes false positives, enabling investigators to focus on the alerts that need the most urgent attention.
Unlike traditional AML solutions, ARIC combines rules, adaptive rules and adaptive models. It is intelligence-led and automatically adapts and updates as behavior changes are identified - improving future transaction monitoring and providing greater control of risk exposure.
Featurespace ARIC named "best in class" among the new generation of AML solutions in the 2019 AITE report "AIM Evaluation: Fraud and AML Machine Learning Platform Vendors."
Download your free copy here.
Case Study: Tier 1 Global Bank
In search of the best AML solution, this Tier 1 global bank selected Featurespace following a head-to-head challenge to demonstrate the benefits of machine learning coupled with automation.
The bank used a rule-based AML transaction monitoring solution. They had a complex data set where it was difficult to spot suspicious activity with rules alone.
The bank’s existing solution generated a monthly batch of alerts with a high volume of false positives. Which required manual consolidation and time-consuming investigation, resulting in operational fatigue.
We tested ARIC on this complex data set, comparing the results against the existing solution.
We found that ARIC generated less alerts and uncovered a lot more SARs.
One third of SARs were spotted one month earlier.