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Zero-Trust Tokenization: Redefining Cybersecurity for Real-Time Payments

Tejas Dhanorkar (), Swaminathan Sethuraman () and Karthik Mani ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 3, issue 1, 493-506

Abstract: The rapid adoption of real-time payment systems has introduced significant cybersecurity challenges, necessitating innovative approaches to protect sensitive financial data and ensure transaction integrity. Traditional security frameworks, often reliant on perimeter-based defenses, are increasingly inadequate in addressing the dynamic and interconnected nature of modern payment ecosystems. This paper introduces Zero-Trust Tokenization (ZTT), a novel security paradigm that integrates zero-trust principles with advanced tokenization techniques to redefine cybersecurity for real-time payments. By enforcing strict identity verification, least-privilege access, and continuous monitoring, the zero-trust component eliminates implicit trust in any user, device, or transaction. Concurrently, tokenization replaces sensitive payment data with non-sensitive tokens, ensuring that critical information remains protected even in the event of a breach. The study evaluates the efficacy of ZTT through theoretical analysis, simulation-based testing, and real-world case studies involving financial institutions. Findings demonstrate that ZTT significantly reduces vulnerabilities to phishing, man-in-the-middle attacks, and data exfiltration while maintaining the low-latency requirements of real-time transactions. Furthermore, the framework enhances compliance with global data protection regulations by minimizing the exposure of sensitive data. This research underscores the transformative potential of Zero-Trust Tokenization in creating resilient, adaptive, and scalable security architectures for the future of digital payments.

Keywords: Zero-Trust Tokenization; Cybersecurity; Real-Time Payments; Tokenization; Zero-Trust Architecture; Payment Security (search for similar items in EconPapers)
Date: 2024
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Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 is currently edited by Justyna Żywiołek

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