Cybersecurity Measures in Master Data Management: Safeguarding Sensitive Information

Authors

  • Ronak Ravjibhai Pansara Author

Abstract

With the increasing digitization of business processes and the proliferation of data, ensuring the security of sensitive information within Master Data Management (MDM) systems has become paramount. This research paper delves into the realm of cybersecurity measures specifically tailored for safeguarding sensitive information in MDM frameworks. The abstract outlines the key components of the paper, including an exploration of current threats to MDM systems, an analysis of traditional and cutting-edge cybersecurity measures, and recommendations for a robust cybersecurity strategy in the context of MDM. As organizations strive to maintain the integrity and confidentiality of their master data, understanding and implementing effective cybersecurity measures becomes essential to mitigate risks and secure sensitive information throughout the data lifecycle.

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Published

2022-08-17

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How to Cite

Cybersecurity Measures in Master Data Management: Safeguarding Sensitive Information. (2022). International Numeric Journal of Machine Learning and Robots, 6(6), 1-12. https://injmr.com/index.php/fewfewf/article/view/35

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