AI and Tokenization: Safeguarding Sensitive Card Data in the Digital Economy

Author(s)	Arunkumar Paramasivan
Country	India
Abstract	The digital economy is constantly expanding, and in the payment system, digital tendencies are becoming more intricate and important in financial operations. Nevertheless, this advancement exposes organizations to various risks, such as data leakage and fraudulent activities. Applying Artificial Intelligence (AI) in combination with the tokenization methods suggested can allow for minimizing such threats. Thus, in this article, we scrutinize how the usage of AI and tokenization contributes to the proactive shield for credit card information. From the literature, we review certain trends and issues, describe methodologies employed in data security, and strike the results and future perspectives of financial systems. Hence, we present guidelines for deploying AI and tokenization in the secure payment processing environment.
Keywords	Tokenization, AI, Card data, Digital Economy, Financial, Data protection.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 13, Issue 2, April-June 2022
Published On	2022-05-04
Cite This	AI and Tokenization: Safeguarding Sensitive Card Data in the Digital Economy - Arunkumar Paramasivan - IJSAT Volume 13, Issue 2, April-June 2022. DOI 10.5281/zenodo.14551590
DOI	https://doi.org/10.5281/zenodo.14551590
Short DOI	https://doi.org/g8wtdd

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