ARIC™ for Correspondent Banking | AML

Gain context where there is none. Featurespace’s Adaptive Behavioral Analytics spots suspicious activity without needing the full picture, evaluating all available party information within transactions, and providing insight to help investigators identify suspicious actors.

Map out risk as adaptive machine learning reveals networks of financial crime across multiple entities and across borders.

Efficiently manage risk using the most dynamic and innovative profiling techniques, while minimizing false positive levels and prioritizing alerts.

Detect Risk More Efficiently

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

Multi-Entity Analysis

Analyze transactions and networks across all jurisdictions

Explainable Models

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

Reduce and Prioritize Alerts

Maximum efficiency with automatically prioritized alerts and decreased case volumes

Fast Deployment

Get set up quickly with standalone or complementary augmented analytics

100% POCs Won

Proof of concepts across use cases have consistently found Featurespace selected

Case Study: Innovative Clearing Bank

We were asked to explore how ARIC Risk Hub could serve as a holistic risk management solution for this clearing bank. As an innovative new bank, it was important that their risk management solution was as fast moving and technologically up to date as their business. Featurespace delivered, with a powerful combined fraud and AML transaction monitoring detection platform that could operate across all their portfolios and protect their entire customer base.

Clarity across borders with holistic risk management