Industries
Fraud Detection
A suspicious signal needs investigation before it becomes a conclusion.
Fraud Detection
Follow the record to the next decision
We discuss relevant records, review rules and a case workflow that keeps evidence and decisions together. Detection thresholds and false positives should be assessed against the institution's operating context.
Workflows to examine
- Real-time transaction scoring
- Behavioral anomaly detection
- Configurable risk rules
- Case management for investigations
- Regulatory reporting support
In practice
Fraud Detection: a practical example
Review a flagged transaction with the authorised investigation team using a controlled sample. Consider the reason for the alert and a similar transaction that is legitimate. Agree how cases are reviewed and corrected so the signal supports investigation without being treated as a final decision.
An illustrative scenario to discuss when planning your project.