5. Technology and AI – the guidance underscores the importance of technology, including data analytics and artificial intelligence (AI), for fraud detection. These tools can monitor anomalous behaviours, improving oversight and identifying risks. Companies investing in these technologies demonstrate a strong commitment to fraud prevention while benefiting from enhanced detection and mitigation capabilities.
6. Management information systems – organisations should establish systems to collect and analyse fraud-related management information. This includes tracking incidents, monitoring compliance metrics, and reviewing risk assessments. Regular reporting helps leadership evaluate the effectiveness of anti-fraud measures and refine strategies as needed.
7. Learning from past incidents – companies should learn from internal audits, investigations, and previous issues, as well as external data, such as industry trends and legal developments. Incorporating these lessons into fraud prevention procedures, risk assessments,