As digital transactions surge across industries, so does the sophistication of fraud and financial risk. This session explores how Artificial Intelligence (AI) is transforming fraud detection and risk management through real-time analytics, anomaly detection, and predictive modeling. Learn how machine learning algorithms can detect suspicious patterns, reduce false positives, and adapt to emerging threats faster than traditional systems. We'll discuss key technologies such as neural networks, natural language processing (NLP), and graph analytics, and how they're applied in banking, fintech, insurance, and e-commerce. Case studies and implementation strategies will provide practical insights for professionals aiming to enhance security, compliance, and operational efficiency using AI.