Proactive fraud management relies on developing predictive Key Risk Indicators (KRIs) that provide early visibility into increasing fraud risk exposures. Unlike standard operational metrics, fraud KRIs target systemic anomalies and behavioral changes that often precede an actual asset misappropriation or corruption event. [1, 2]
[KRI Aggregator Baseline] ---> Script Scans ---> Threshold Trigger Alerts
Fraud KRIs must utilize objective system inputs and clear tracking thresholds:
Employee Access Variance = Current Month System Data Invocations - Historical 90-Day Baseline Average
Examples of common fraud KRIs monitored by risk teams include:
- System Override Activity Rates: Tracking the number of times a supervisor uses administrative credentials to manually bypass standard transaction verification loops or credit limits.
- After-Hours Database Invocations: Monitoring access to core customer data platforms or procurement masters made outside standard operational hours.
- Vendor Master File Modification Volumes: Tracking the frequency of bank account profile updates within the supplier directory, which can signal phantom vendor generation schemes.