This critical course teaches advanced techniques for detecting fraudulent activities and managing risk using AI and machine learning. Students learn anomaly detection algorithms, supervised and unsupervised fraud detection models, network analysis for fraud rings, and real-time scoring systems. The curriculum covers credit risk modeling, transaction monitoring, identity verification, and regulatory compliance requirements. Participants gain expertise in building fraud detection systems that balance security with customer experience, reduce false positives, and adapt to evolving fraud patterns through continuous learning.