This white paper examines generative AI’s role in anti-financial crime, offering rapid data synthesis, contextual analysis, and automation to enhance AML, fraud detection, sanctions screening, and investigations. Benefits include faster case resolution, improved accuracy, and scalability, while risks involve bias, data leakage, lack of transparency, and hallucinations. Mitigation requires strong governance, clean data, secure deployment, explainable AI, and human oversight. Criminal misuse, such as deepfakes and phishing, underscores the need for proactive safeguards. As adoption grows, gen AI will become integral to modern, efficient, and resilient compliance operations.

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