Overview
A risk-based approach to AML, powered by Artificial Intelligence & Machine Learning
Satisfy Regulators, Save Time and Money, and Grow your Business.
ThetaRay’s Transaction Monitoring solution takes a dynamic, risk-based approach to AML. It analyzes the full path through which funds flow to detect anomalous behaviors, by scrutinizing all users and transactions the solution considers all financial crime risks posed to a business.
The 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 complex money laundering patterns that often go undetected with traditional models.
Key Features
ThetaRay Transaction Monitoring is a cloud-native SaaS solution for banks and fintechs.
It efficiently detects money laundering and other financial crimes, allowing for the growth of new business opportunities through trusted
and reliable transactions.
Powered by Intuitive machine learning
Using advanced, unbiased machine learning that can detect new and unpredictable typologies, or “unknown unknowns,” the solution analyzes data dynamically without relying on predefined scenarios or models. This unique approach factors in dozens of risk indicators associated with financial crimes to paint a clear picture for compliance teams seeking to accurately identify suspicious activities.
Risk-based alerting
The solution generates alerts by a composition of alert indicators including 'red flag' coverage by risk indicators. The presentation is done by the level of activity with respect to the population and customer segmentation, leading to investigation efficiency and improvement.
Fully configurable
The solution is fully configurable with multiple out-the-box risk indicators covering all major global risk typologies and was developed in partnership with banks. Organizations can take advantage of having pseudo- customer identities to create proxies of customers to isolate high-risk originator or beneficiary (non-customer)
activity to identify complex risk patterns.
Multi-layer detection
ThetaRay’s solution architecture also supports an optional rules layer to bolster real-time decision making.
Key Benefits
- Red flag coverage - Coverage for all known money-laundering risks using a multi-layered solution including unsupervised, semi-supervised and rules.
- Identify unknown cases - AI & ML provides the power to recognize anomalies and find unknowns outside of normal behavior, including new typologies.
- Improve operational efficiency - Using ThetaRay Transaction Monitoring analysts cut time spent on investigations, reducing overall cost of compliance.
- Reduce false positives - Up to 99% fewer false positives compared with rules only based systems.
- Traceable and reliable results - with up to 95% of flagged alerts deemed detection worthy and fully explainable for internal audits and robust reporting.
- Supports compliant business growth - Identifying risks more accurately and precisely enables financial institutions to grow business with additional partners in more countries and more segments.
