The escalating frequency and sophistication of cyberattacks targeting digital payment systems present a significant challenge to the security of financial transactions globally [1] [2]. In response to this growing threat, this research investigates the development of an advanced tokenization framework designed to enhance the security, scalability, and interoperability of digital payment infrastructures. Tokenization, a process that replaces sensitive payment information with unique, non-sensitive tokens, has emerged as a pivotal technology in mitigating the risks associated with data breaches and fraud.

This study aims to push the boundaries of current tokenization methods by integrating cutting-edge encryption techniques, including quantum-resistant algorithms, with Blockchain technology to establish a decentralized, immutable ledger for transaction records. Additionally, Artificial Intelligence (AI) and machine learning are leveraged to create a dynamic, context-sensitive tokenization system capable of real-time fraud detection and prevention.

The research will address several key objectives: enhancing the robustness of tokenization systems against emerging cyber threats, ensuring the system’s ability to handle high transaction volumes across various sectors, and facilitating seamless integration with existing and future digital payment platforms. By focusing on these objectives, the study seeks to create a tokenization solution that not only secures digital transactions but also promotes wider adoption of digital payment technologies by ensuring consumer trust and confidence.

The findings of this research are expected to have profound implications for the security of digital payments, contributing to the resilience of financial systems and supporting the ongoing evolution of the global fintech landscape. The research outcomes will provide critical insights and practical solutions that can be applied to enhance the security of digital payment systems, ensuring their sustainability and reliability in the face of evolving cyber threats.