Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{171577,
        author = {Kanika Jain and Kanak Gupta and Diksha gupta and Jhalak wadhwa},
        title = {Tokenization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {3527-3532},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171577},
        abstract = {"In today’s business environment, organizations often manage numerous fragmented data repositories. This creates a need for a unified, centralized decision-support system to provide executives with a single source of truth, enabling them to evaluate business performance and make informed decisions effectively. This paper introduces an innovative solution to address this challenge, utilizing tokenization as a key security mechanism. To validate this method, a prototype was developed and tested. The findings indicate that tokenization has the potential to serve as a robust alternative to traditional encryption techniques for securing business intelligence data in cloud environments.

Comparative Analysis compares tokenization with other data protection techniques such as encryption and data masking. Assess their effectiveness and compliance with data protection regulations to highlight the advantages and disadvantages of each method. Quantitative Research collects and analyzes data on the effectiveness of tokenization in reducing data breaches and compliance costs.

Data protection using tokenization effectively secures sensitive data by replacing it with non-sensitive tokens, making it unreadable to unauthorized users. Improved data sharing by Tokenization allows for secure sharing of sensitive information among authorized parties without exposing the actual data.
Enhanced Customer Trust by implementing tokenization, organizations showcase their dedication to protecting customer data, which can foster greater trust and loyalty.
Risk Mitigation by Tokenization reduces the risks associated with data breaches by replacing sensitive information with tokens, ensuring the original data remains secure and inaccessible, thus reducing the likelihood of exposure. Improved Security by replacing sensitive data with non-sensitive tokens, tokenization lowers the risk of data breaches.
Organizations that adopt tokenization demonstrate a commitment to protecting customer data, which can enhance trust and improve their reputation in the market. Reduces the scope of compliance and minimizes the risk of data breaches, tokenization can lead to lower costs associated with data protection measures, audits, and potential legal liabilities.
Flexibility in data management using tokenization provides organizations with the ability to manage sensitive data more effectively. Mitigation of insider threats by implementing tokenization, organizations can limit access to sensitive data, thereby reducing the risk of insider threats.},
        keywords = {Privacy Management, Cloud Computing, Tokenization Security},
        month = {March},
        }