Fraudulent activities pose a significant threat to the financial industry. Traditional fraud detection methods often struggle to keep pace with the evolving tactics of cybercriminals. However, the advent of AI Training combined with machine learning (ML) has revolutionized the way financial institutions approach fraud detection. How AI/ML Can Enhance Fraud Detection: Real-time Anomaly Detection: By analyzing vast amounts of transaction data in real-time, AI algorithms can identify unusual patterns that may indicate fraudulent activity. Machine learning models can learn to recognize normal behavior and flag anomalies, such as sudden spikes in spending or unusual transaction locations. Behavioral Biometrics: AI can analyze user behavior, such as typing patterns, mouse movements, and device information, to detect unauthorized access. By identifying deviations from normal behavior, AI can flag suspicious activity. Advanced Fraud Analytics: AI-powered analytics too...