AI Framework for Cardless Banking Security and Fraud Mitigation

A new research paper proposes a comprehensive framework for cardless AI banking that enhances cybersecurity and fraud mitigation using machine learning algorithms. The framework introduces auto-generated virtual cards secured by AI-powered data cryptography, ensuring secure communication channels among banks, cardholders, and third-party vendors. AI-based authorization authenticates each transaction and proactively identifies potential fraud. The initial approach features an AI-driven, feature-based banking model. The paper is published on arXiv with ID 2605.22604.