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AI framework enhances cardless banking security and fraud mitigation

This paper proposes a new framework for cardless AI banking, focusing on enhanced cybersecurity and fraud mitigation. It leverages AI-driven data cryptography to create secure virtual cards and employs machine learning algorithms for transaction authentication and fraud detection. The framework aims to provide a more secure and convenient banking experience compared to traditional methods. AI

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IMPACT Proposes a new security and fraud mitigation framework for cardless AI banking systems.

RANK_REASON This is a research paper detailing a proposed framework for AI in banking. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

COVERAGE [1]

  1. arXiv cs.AI TIER_1 · Md Israfeel ·

    Innovations in Cardless Artificial Intelligence Banking: A Comprehensive Framework for Cyber Secure and Fraud Mitigation using Machine Learning Algorithms

    The advent of cardless artificial intelligence (AI) banking heralds a paradigm shift in the financial landscape, offering users unprecedented security and convenience. This paper outlines a comprehensive framework designed to enhance cybersecurity, introduce auto-generated virtua…