AI and ML are transforming fraud detection with adaptive, scalable, and real-time models. From supervised learning to deep neural networks, these tools improve accuracy and help uncover complex fraud schemes. Despite their promise, challenges like data imbalance, explainability, and compliance still impact large-scale adoption.
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