aiSmartScore®
Our aiSmartScore fraud scoring platform is an advanced fraud detection solution that provides real-time, automated fraud risk scoring.
- Enhanced fraud detection
- Reduced false positive rates
- Support for your existing models and tooling
aiSmartScore® complements the aiRiskNet® solution by providing behavioural risk scores for use in aiRiskNet® fraud rules, utilising the latest machine learning technology.
By analysing transaction data and applying sophisticated machine learning models, it generates a fraud score that helps businesses quickly determine whether to approve, review, or decline a transaction. These models are trained to assess risks and predict fraudulent activity based on patterns in the collected data. aiSmartScore leverages collected data and industry expertise to enhance the accuracy and effectiveness of its fraud detection capabilities. The process involves gathering and analysing transaction and user data, evaluating it through the model, and assigning a risk score to each transaction. Through seamless API fraud score integration, organisations can embed this technology into existing systems, improving speed, accuracy, and protection against evolving fraud threats.
Key Benefits
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Automated model generation and implementation using aiAutoPilot ML®
aiAutoPilot ML® automatically trains machine learning models and selects the best options for your current fraud strategy. The model can then be automatically exported into aiSmartScore® once signed off by a fraud manager.
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Specialised in-house models are supported out of the box
aiSmartScore® supports a wide range of machine learning model formats, enabling your data scientists to continue using their everyday tools for model development.
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API-based flexibility and extensibility
Fraud strategy managers often supplement rules with external, manual, data-driven processes. The API extensions enable these manual processes to be implemented into a simple API, which can then be evaluated with live data. The API enables aiRiskNet® to quickly integrate with third-party services such as dark web scanning, third-party fraud models, and emergency fraud trend detection mechanisms. -
Save time
The modelling process enables the resulting model to learn fraud patterns in the data, saving time usually spent developing manual rules and resulting in better performance. -
Less complexity
A machine learning model can often replace thousands of manual rules. This means reduced false positives, increased fraud capture and reduced fraud strategy management manual effort. -
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Key Features of aiSmartScore®
aiSmartScore® stands out as a next-generation fraud prevention solution, designed to help businesses stay ahead of evolving threats and protect their operations with confidence. Here’s how aiSmartScore® delivers industry-leading performance:
Advanced Risk Scoring with Machine Learning:
aiSmartScore® is a powerful risk scoring engine that leverages machine learning models to analyse a wide range of data points. By examining user behaviour, device details, and transaction patterns, the system can accurately identify high risk users and suspicious activity in real time.
Customisable Fraud Rules
Every business faces unique challenges, which is why aiSmartScore® allows for fully customisable fraud rules. Companies can tailor the system to detect hidden threats, such as bots, fake accounts, or unusual login attempts, while minimising false positives that can disrupt the user journey.
Comprehensive Reporting and Analytics
With built-in analysis and reporting tools, aiSmartScore® provides actionable insights into fraud trends, risk scoring performance, and the effectiveness of your fraud prevention strategy. This empowers businesses to continuously refine their approach and respond quickly to new threats.
User-Friendly Management Tools
User-Friendly Management Tools: the aiSmartScore® fraud scoring platform features an intuitive interface within RiskNet, making it easy for fraud analysts and business users to configure rules, interpret scores, and monitor system performance, no advanced technical expertise required.
Reduced Chargebacks and Enhanced Customer Experience
By accurately identifying high risk users and preventing fraudulent transactions, aiSmartScore® helps businesses reduce chargebacks, protect revenue, and deliver a smoother experience for genuine customers.
Scalable and Adaptable Solution
Whether you’re a small business or a large enterprise, aiSmartScore®’s flexible architecture and machine learning models ensure your fraud prevention strategy can grow and adapt as your business and the threat landscape evolve.
How aiSmartScore® Works
At the core of aiSmartScore® is automated fraud risk scoring, combining AI, statistical models, and behavioural analysis.
Transactions are assessed in real-time, with each one assigned a fraud score based on indicators of risk. aiSmartScore® uses logic-based rules and machine learning to analyse identity and behavioural signals, ensuring that risk is accurately determined for each transaction. This allows fraud teams to:
- Approve low-risk transactions instantly
- Flag medium-risk ones for review
- Block high-risk activity before losses occur
Flexible options to fit your needs
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Build the model yourself to have complete control
aiSmartScore® can ingest other models. Your data scientists can use tools such as Azure ML, TensorFlow, Scikit-learn, or Pytorch to build behavioural models in-house and deploy them into aiSmartScore®. There is no need to adapt to new ML processes to accommodate loading models into aiSmartScore® - simply export your model directly into aiSmartScore®.
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We’ll build the model for you
Leverage ai’s skills and experience in fraud detection, and have our team build a behavioural scoring model tailored to your business to optimise fraud detection performance. -
Use aiAutoPilot ML® to automate the model-building process
Benefit from our proprietary solution, aiAutoPilot ML®, a machine learning fraud strategy optimisation tool that automates the entire fraud management process. This option will save you time and precious resources while building optimal fraud detection models for your fraud strategy.
FAQs About aiSmartScore®
What is aiSmartScore® used for?
aiSmartScore® is used to assign a fraud score to each transaction, enabling businesses to identify and block high-risk activity in real time.
How does automated fraud risk scoring differ from rule-based systems?
Unlike static rules, automated fraud risk scoring adapts to evolving threats, reducing false positives while maintaining strong fraud protection.
Can aiSmartScore® be integrated with existing fraud systems?
Yes, with API fraud score integration, aiSmartScore® easily connects to payment platforms, fraud engines, and customer management tools.
What industries benefit most from aiSmartScore®?
Banking, payments, retail, e-commerce, and any high-volume transaction business can gain immediate value from aiSmartScore®.
Does aiSmartScore® require AI expertise to manage?
No. While powered by AI, aiSmartScore® is built for practical use, delivering results and insights without the need for specialist teams.
Can aiSmartScore® help block fraudsters?
Yes, aiSmartScore® identifies suspicious activity patterns linked to fraudsters and can automatically block transactions from users or ips associated with fraudulent behaviour.
How is aiSmartScore® tested for accuracy?
aiSmartScore® is rigorously tested using real-world data. The system undergoes continuous test cycles to ensure its fraud detection rules and algorithms remain accurate and reliable.
Does aiSmartScore® consider previous transactions?
Yes, aiSmartScore® uses previous transaction data to enhance risk assessment. By analysing previous responses and transaction history, it can better detect duplicate or suspicious activity.
Will users see a special page during fraud checks?
In some cases, users may be shown a dedicated page during fraud checks. This page can display information or request additional actions to verify user identity and enhance security.