Real-Time Fraud Detection Using AI and Machine Learning

Real-time fraud detection in e-commerce is vital due to sophisticated attacks. AI and machine learning techniques like behavioral analytics, device fingerprinting, and risk scoring analyze user behavior, device information, and transaction patterns to identify suspicious activity instantly. Challenges include data privacy, false positives, and scalability. Future trends include federated learning, explainable AI, blockchain integration, and cross-platform threat intelligence. In the UK, fraudsters committed nearly 1.4 million thefts in the first half of 2023, occurring every 12 seconds on average.