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Evolving Data Management: Challenges and Solutions
This chapter explores the transition from traditional data storage to modern data loss prevention (DLP) practices, outlining the historical challenges faced during early DLP implementations. It emphasizes the critical need for improved technology to automate data classification, highlighting the inefficiencies of current DLP solutions and the importance of effective data governance. The discussion critiques existing approaches while advocating for a comprehensive understanding of data assets as foundational to robust cybersecurity strategies.