Fraud Detection (AI)

AI fraud detection uses ensemble models — rule-based screens, classical machine learning, and large language models — each catching what the previous layer missed. Frontier LLMs add value primarily on novel fraud patterns expressed in natural language: social engineering, account takeover dialogues, fake document narratives. Pure-LLM fraud detection is rare in production; ensembles are the norm and the right architecture for 2026.