This white paper outlines data-centric security for cloud and analytics environments. Page 1 introduces rising threats driven by distributed workloads, remote users, and complex regulatory landscapes. The solution uses encryption, tokenization, masking, and policy controls to safeguard sensitive information across structured and unstructured data. It emphasizes controlling data at rest, in motion, and in use, with diagrams illustrating architecture patterns for hybrid cloud protection. The paper highlights analytics-ready de-identification that enables insight without exposing personal data. Benefits include reduced compliance burden, improved breach resilience, and scalable protection for modern data ecosystems.

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