ARIC™ for Payment Service Providers | AML Solution

Get a clear view of payment risks with real time multi-entity profiling of key parties like merchants, issuers and customers.

Pinpoint illicit behavior regardless of a lack of historical context, using award-winning Adaptive Behavioral Analytics to peer-profile entities’ behavior against those with similar characteristics.

Quickly detect anomalous activity using the most dynamic and innovative profiling techniques, while minimizing false positives.

Surface Unknown Threats

Detect new suspicious activity with unparalleled anomaly detection

Multi-Entity Analysis

Analyze transactions and networks across all jurisdictions

Detect Risk More Efficiently

Truly adaptive machine learning models spot new and known suspicious behavior in real time

Reduce and Prioritize Alerts

Maximum efficiency with automatically prioritized alerts and decreased case volumes

Explainable Models

Self-learning, explainable machine learning models with clear reason code extraction

100% POCs Won

Featurespace consistently selected across all use cases in proof of concepts

Case Study: Global Payment Service Provider

This technologically-focused provider selected Featurespace following a thorough assessment as ARIC Risk Hub met all their requirements for a robust and innovative AML transaction monitoring solution, compliant in both APAC and EMEA.

They were exceptionally happy with Featurespace’s flexible approach to technology and delivery, allowing them to become compliant in multiple regions within a short timeline.

The project:

Processing card and wire transactions from their merchants via an AWS-hosted Featurespace solution
Custom schema and third-party integration with minimal effort for the client
Rules-only deployment before moving to machine learning models

Instantly Catch Suspicious Merchant and Customer Behavior