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

TL;DR
This paper presents a comprehensive AI-driven framework for secure, fraud-resistant, cardless banking that leverages machine learning and cryptography to enhance cybersecurity and user convenience.
Contribution
It introduces a novel framework combining AI, cryptography, and machine learning to improve security and fraud mitigation in cardless banking systems.
Findings
Framework effectively enhances transaction security.
Virtual cards with encrypted data reduce fraud risks.
AI-based authentication improves transaction integrity.
Abstract
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 virtual cards, and mitigate fraud risks within cardless AI banking systems. The framework envisions a future banking architecture that employs AI-powered data cryptography to create secure virtual cards for seamless transactions. By emphasizing secure communication channels, it ensures the integrity of financial activities among banking systems, cardholders, and third-party vendors. AI-based authorization methodologies play a pivotal role in authenticating each transaction while proactively identifying potential fraud, demonstrating the framework's efficacy in fortifying cardless AI banking security. The initial…
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