Fraud Risk Management using AI tools

Course Description

Fraud Risk Management with AI Tools is a twelve-module self-paced programme for internal audit and compliance professionals. It builds practical AI capability across the full fraud detection lifecycle — from machine learning models and network graph analytics to AI-driven controls and governance frameworks — anchored to real-world case studies and regulatory standards including MAS FEAT, the EU AI Act, ACFE, IIA, and ISACA.

Learning Objectives

• Participants will be able to select and evaluate AI and machine learning techniques for specific fraud typologies, interpret key model performance metrics, and identify the principal model failure modes. They will develop applied capability in NLP fraud signal extraction, graph AI for fraud ring detection, and multi-layer predictive fraud scoring. Participants will also be equipped to govern AI fraud systems responsibly — applying MAS FEAT, EU AI Act, and MRM frameworks to model validation, explainability, and human oversight. The programme qualifies for approximately 36 CPE hours and is applicable to CFE, CIA, CISA, and CRISC credentials.