Transaction Monitoring
Get insight into your customers and their behaviour with intelligent transaction monitoring
Stay ahead with our real-time transaction monitoring solution, which allows you to manage the detection, investigation and monitoring of suspicious transactions.
What this means for you
- Reduce review times for your compliance team with a solution that automatically adjusts to real-time resource demands and manages sudden spikes
- Ensure flexible transaction monitoring across various customer data formats using a tailored suite
- Handle complex transaction environments for high volume and high value products, and monitoring across numerous contexts from mobile wallets to cross-border transactions
- Swiftly flag, prioritise and escalate alerts based on dynamically changing situations to minimise manual resource requirements
- Tune thresholds to align with shifting client usage for real-world monitoring
- Accurately map and track transactions across common and related parties for fast and comprehensive financial crime detection
Flexible rule-based monitoring combined with the power of machine learning
Our approach to transaction monitoring includes utilising a combination of rule-based monitoring, supervised learning and unsupervised learning. This gives you the ability to include traditional rules that create an event based on a predefined scenario, while simultaneously leveraging machine learning.
The supervised machine learning models are trained off either existing or simulated data, while unsupervised machine learning allows for automated hyper segmentation, anomaly detection and cluster analysis.
Utilising a comprehensive rule set that monitors your transaction data based on suspicious activity patterns means that you can identify high risk transactions as they occur, or monitor these retrospectively through our replay feature.
Gain a holistic view of your customer's behaviour
Only by gaining a holistic view of customer behaviour, can you make faster, more informed decisions. Explore related transaction data and gain clearer insight into the risk patterns of all parties involved.
By consolidating associated alerts, you can reduce the volume of alerts your team has to review and leverage historical activity to spot patterns before they turn into risk.
Real-time, AI-powered monitoring
Detect indicators of potential money laundering in real-time, with our AI-powered stream-based solution, which is tailored to your particular business needs. Our solution continually identifies unusual financial activity with ease, allowing you the opportunity to further investigate only truly suspicious behaviour.
Combine human and AI capabilities to minimise risk, while maximising efficiency and leveraging our AI-based entity resolution technology to link customer profiles across different data sets and better understand transaction flows using link analysis.
Features
- AI-driven monitoring
- Real-time and batch based monitoring
- GraphQL API integration
- Rule-based and supervised / unsupervised machine learning
- Configurable screening, lists, workflows and matching
- Low latency real-time analysis
