Fraud Detection Systems
Stop Fraud in Real Time Without Blocking Legitimate Customers
What we do
Fraud detection requires models that catch rare events in high-volume transaction streams — with a precision-recall balance that minimises both fraud losses and false positives that block real customers. We build custom fraud and anomaly detection systems for financial services, e-commerce, and public sector organisations.
Ideal for
Financial services, insurance, e-commerce, and public sector organisations whose fraud losses and false-positive rates are unacceptably high
Common applications
Transaction Fraud Scoring
Score payment transactions in real time with a risk probability, triggering automated holds or friction for high-risk events.
Insurance Claims Fraud Detection
Flag suspicious insurance claims using behavioural patterns, social network analysis, and historical fraud profiles.
Identity Fraud & Account Takeover
Detect account takeover attempts using device fingerprinting, behavioural biometrics, and session anomaly detection.
Benefits & Subsidy Fraud
Detect fraudulent benefit claims in public sector data using ML models trained on historical confirmed fraud cases.
Credit Application Fraud
Detect synthetic identity fraud and application manipulation in loan and credit card origination pipelines.
Explainable Fraud Scores
Generate fraud scores with SHAP explanations that satisfy regulatory requirements for automated decision-making under GDPR Article 22.
How we work
Fraud Taxonomy Design
Define fraud types, labelling strategy, and the cost matrix (false positive vs. false negative cost) that drives model tuning.
Feature Engineering
Build velocity features, network features, and behavioural patterns that capture fraud signals from your transaction data.
Model Development
Train gradient boosting or deep learning models with appropriate class imbalance handling and threshold optimisation.
Deployment & Monitoring
Deploy to real-time or batch scoring endpoint. Implement champion-challenger testing and ongoing performance monitoring.
What you receive
- Fraud scoring model with precision/recall benchmark
- Real-time inference endpoint integration
- SHAP explainability for flagged transactions
- Champion-challenger deployment framework
- Model monitoring and drift detection dashboard
- GDPR Article 22 compliance documentation
Ready to get started?
Let's discuss your requirements. No commitment, no sales pitch — just a focused conversation about your situation.
Book a free discovery call