Risk Based Approach

Once the customer demand for services increases and business growth ensues, transaction volumes and variety become so large that a one-size-fits-all transaction monitoring approach no longer becomes feasible or effective.  Traditional transaction monitoring rules tend to be set as thresholds impacting most of the customer-base with the least-risk cut-off point.  This results in rules that […]

Powering Anti-Money Laundering efforts with Artificial Intelligence

The question that follows, is how can artificial intelligence assist organisations with combatting Money Laundering? Although in essence the ultimate question which  needs to be answered is a binary one – is a particular activity hiding illicit money laundering activity or not – reaching a simple and correct conclusion is in many cases not an […]

What Is AI/ML Anomaly Detection

comply-radar-aml-compliance

Anomaly detection is an advanced technique that uses an organisations’ data and machine learning to detect behaviour that doesn’t fit within the expected normal behaviour profile. This module works an additional filter for suspicious transactions over and above the ComplyRadar rules engine. There are different types of anomalies that can be detected, including:  Point anomalies; […]