Data Security and Compartmentalization

Authors: Rajalakshmi Thiruthuraipondi Natarajan

DOI: https://doi.org/10.5281/zenodo.14535749

Short DOI: https://doi.org/g8wjq8

Country: USA

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Abstract: Data Compartmentalization is a practice of analyzing the data collected and managed by the organization for its sensitivity , breaking them into smaller portions and isolating them into respective buckets and applying layers of security as needed to avoid any unintended access or data breaches or leaks and provide relevant ownership for accountability and ease of maintenance. These restrictions apply to accessing the information both internally and externally. The company might employ one more method to categorize and secure the data to restrict the access by an individual or an application, or flow of data to other downstream systems. Depending on the need, relevant security and scrambling techniques, such as access control, encryption, data masking, etc., might be employed to protect the data from unauthorized access and/or safely transmit the data.This needs to be a continuous process, where the data is revisited in regular intervals and reclassified as needed so as to avoid over-utilizing the resources or cause serious hindrance to the company’s performance, without compromising the application efficiency and data integrity.

Keywords: Data Security, Cybersecurity, Data Compartmentalization, DataIsolation, access control. Need-to-know access, Information Sensitivity, Data Masking and Encryption, Data Scrambling, Data accountability

Paper Id: 231883

Published On: 2021-08-05

Published In: Volume 9, Issue 4, July-August 2021

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