Transaction Monitoring
Improve speed, accuracy, and efficiency of AML risk detection
Bank Fact Sheet Fintech Fact SheetMulti-Layered AML
ThetaRay’s Transaction Monitoring solution takes a dynamic, risk-based approach to AML. Our proprietary AI analyzes the full path through which funds flow to detect anomalous behaviors. By scrutinizing any user and transaction the solution considers all financial crime risks posed to a business, defining what is considered ‘normal’ and flagging what is ‘abnormal’ behavior.
ThetaRay’s real-time transaction monitoring enables continuous surveillance of transactions as they occur, allowing for the immediate detection and ability to block or stop a transaction.
ThetaRay’s solution does not rely on predefined rules, known patterns, or signatures but instead continuously learns from the dataset to improve in effectiveness. ThetaRay’s AI is applied at the detection level and not at the alert level. This results in the ability to identify emerging and ever-changing money laundering patterns that often go undetected with traditional models.
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Risk-based Monitoring
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Fast and Accurate Time to Value
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New Risk Identification
Complies with Regulatory Requirements and Industry Standards
Fully Explainable and Traceable
The solution is fully configurable with multiple out-the-box risk indicators covering all major global regulations. Developed in partnership with fintechs and banks, ThetaRay’s solution is fully explainable, unbiased, and transparent. It documents each step, decision, and risk indicator to provide a clear audit trail.
Fostering trust and dialogue on evolving AML themes, ThetaRay is on the list of experts the Financial Action Task Force (FATF) consults with and participates in professional discussions.
Enabling Compliant Growth for Payment Service Providers
Onafriq is a leading Pan-African payment network that connects over 500 million mobile wallets and bank accounts across more than 40 African markets. ThetaRay’s advanced technology not only met Onafriq’s immediate needs but also established a new benchmark for compliance and efficiency in digital payments across Africa.
- Deployment in under 3 months
- Enhanced risk detection — 83% of sender alerts and 94% of receiver alerts for complex cross-border payments were deemed detection-worthy
AI-driven Transaction Monitoring
- Risk-Based Methodology
- Customized Risk Indicators
- Detects New Crime Typologies
- Unbiased Machine Learning
- Clear Network Visualization