aiFraud Managed Service™
A dedicated, expert fraud service team to manage and maintain all aspects of fraud across your business.
- Fraud strategy design and management
- Fraud alert management
- Management information and reporting
We handle every aspect of fraud management so that you can focus on your core business.
Our dedicated team of expert fraud strategy analysts will create a tailored fraud management strategy that aligns with your core business objectives. By analysing your data and understanding your customer portfolio, products, and capabilities, we develop a customised approach to manage all aspects of fraud in your business, allowing you to allocate resources to other priorities.
Leveraging the advanced machine learning capabilities of aiAutoPilot ML®, we maximise fraud detection to protect your profitability. Our team specialises in best-in-class technology solutions proven to reduce fraud and increase efficiency. We work closely with your team, sharing our expertise through comprehensive in-house training to ensure lasting, impactful knowledge transfer.
This value-added service complements the aiRiskNet® fraud management solution.
We create comprehensive rules and strategies tailored to your business.
A core requirement of any fraud prevention solution is empowering fraud strategy teams with the flexibility to design comprehensive rule strategies targeting key risk areas and specific data points.
Tools in our toolkit
The fraud managed services team uses a combination of advanced tools to accurately detect emerging fraud trends and adapt to changing behaviours.
This approach leads to the development of highly effective fraud mitigation and early detection strategies.
aiRiskNet® Rules Engine
A rules engine with comprehensive rule strategies uses advanced fraud detection methods to identify and mitigate fraud accurately.
The aiRiskNet® Rule Engine uses hundreds of custom data points to help define multiple rule sub-strategies targeting various identifiers, such as risk classifications, transaction types, specific payment types, etc.
Machine learning with aiAutoPilot ML®
Machine learning to assess fraud patterns in real time, trial new models, and produce strategy recommendations daily.
The machine learning tool aiAutoPilot ML® is directly integrated with aiRiskNet® to monitor fraud data in real time. It suggests new rules and models while identifying underperforming rules for removal.
Rich data insights with aiSmartIntelligence®
Accessible, advanced analytics designed to assist teams with accurate decisions and behaviour monitoring
Using aiSmartIntelligence®, we monitor the data and behaviours and react to them accordingly. Monitoring critical behaviours in near real-time enables fast decision-making and quick fraud strategy adjustment. This helps our team detect new fraud trends and implement steps to mitigate fraudulent activity.
Targeted behaviour profiling using SmartScore®
Behavioural risk scores for use in aiRiskNet®
Fraud strategy managers often supplement rules with external, manual, data-driven processes, but our fraud-managed services team use SmartScore® because the API extensions enable these manual processes to be implemented into a simple API, which can then be evaluated with live data. A machine learning model can often replace thousands of manual rules. This results in reduced false positives, increased fraud capture and efficiency.