This white paper explores how organizations can identify, classify, and secure sensitive data across hybrid, cloud, and endpoint environments. It explains why visibility gaps expose enterprises to breaches, compliance violations, and insider risks. The guide covers automated data discovery techniques, classification frameworks, and risk-based protection strategies aligned to regulatory requirements. It highlights best practices for encryption, access control, DLP, monitoring, and incident response driven by data sensitivity. Real-world use cases show how organizations can reduce data sprawl, minimize attack surfaces, and respond faster to breaches. The paper positions sensitive data protection as a foundational capability for modern security and compliance programs.

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