Monte Carlo Fraud Exposure

This webinar is designed as a practical modelling session demonstrating how simulation techniques can improve audit planning and fraud risk analysis when single-point estimates are insufficient. Participants explore Monte Carlo logic applied to loss severity, event frequency, control failure rates, sample coverage, and escalation thresholds. The session connects probability distributions, scenario design, sensitivity testing, and output interpretation to audit scoping, control testing, and management reporting, enabling risk discussions to move from broad judgement to quantified exposure ranges.