Encouraging the shift to a proactive approach against fraud
As the world’s economy shifts from traditional banking methods to online transactions, the risk of fraud is ever more present.
It is estimated that the world’s economies lost approximately €4.28 billion in fraud during 2019. Unfortunately, organisations tend to adopt a reactive approach to fraud and only investigate once the effective losses have already occurred.
State-of-the-art fraud detection system that learns from each case
Through statistical information, binary, and a state-of-the-art machine learning rules engine, the ComplyRadar Fraud module can understand what is to be expected from a customer at a transactional level and flag any change in behaviour.
Our module works in tandem with our machine learning algorithms to flag any potential change in the customer’s behaviour which could be deemed fraudulent or suspicious, thus giving you visibility on such patterns in real-time.
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Let us provide you with a product demo on simulated data to ensure you see the solution in action relative to your business requirements.