Agentic AI Framework CASE Targets Digital Payment Scams

A new research paper introduces CASE (Conversational Agent for Scam Elucidation), an Agentic AI framework designed to enhance scam intelligence in digital payments. The framework uses a conversational agent to interview potential victims, collecting detailed scam feedback in a safe and scalable manner. This addresses the limitation of traditional user and transaction-based signals, which are insufficient for understanding sophisticated social engineering scams that often originate outside payment platforms. The paper is published on arXiv under identifier 2508.19932.