Solutions Architect, Anecca Ideas Corp, Toronto, Canada.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 2427-2436
Article DOI: 10.30574/wjaets.2025.15.2.0792
Received on 07 April 2025; revised on 19 May 2025; accepted on 21 May 2025
The aim of the research is to critically evaluate the challenges and opportunities associated with Data Loss Prevention (DLP) adoption procedures, and to propose different solutions and strategies for implementing and improving the performance of DLP, while examining its maturity within a business context. Businesses demonstrate significant growth through cloud-based services and digital transformation, but also face data security challenges that have become increasingly complex. The foundation of insider threat, both intentional and unintentional, encompasses significant causes associated with data theft, posing a substantial challenge for organizations to effectively navigate and implement various measures related to Data Loss Prevention (DLP). The research study directly contributes to the growing body of knowledge about the critical challenge of data security management, particularly in the implementation of Data Loss Prevention (DLP) solutions within large-scale business environments. The research aimed to fill the gap by proposing a practical and comprehensive approach, along with a sophisticated framework, for enhancing Data Loss Prevention (DLP) implementation and adoption.
Data Loss Prevention (DLP); Insider Threat; Cloud-based Services; Implementation Challenges; Machine Learning; Artificial Intelligence
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Firoz Mohammed Ozman. Implementing Data Loss Prevention (DLP). World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 2427-2436. Article DOI: https://doi.org/10.30574/wjaets.2025.15.2.0792.