The article also described how J.P. Morgan’s Payment Control Center applies behavioral monitoring to factors such as payment velocity, transaction timing, beneficiary history, and payment amounts. In a peer-reviewed IEEE conference paper (Defensive Architectures for LLM-Based Fraud Detection Against Data Poisoning and Prompt Injection), I proposed a resilient defensive architecture for large language model-based fraud detection systems. That chain should include behavioral verification at login, behavioral monitoring during transactions, and resilient AI systems supporting both. 202641014348, titled “System and Method for Automated Fraud Detection Using Generative Artificial Intelligence Model.” Article TopicsAI fraud | banking | behavioral analysis | behavioral biometrics | biometrics | financial services | fraud prevention | IEEE