AI-Driven Fraud Detection

This article explores the role of AI-driven fraud detection in modern financial systems, highlighting its ability to analyze large data sets and detect fraud patterns more effectively than traditional methods. By utilizing machine learning and real-time data processing, AI systems can identify complex fraud tactics while reducing false positives. The internal audit function plays a critical role in overseeing the governance, accuracy, and fairness of these AI tools. Ethical concerns, such as algorithmic bias, and challenges related to data quality and system integration are also discussed.