Data breaches cost organizations an average of $4.88 million in 2024, and cloud data platforms are increasingly targeted. As enterprises scale analytics and AI workloads on Databricks, understanding how to secure data in Databricks is a foundational requirement, not an afterthought. Databricks operates on a shared responsibility model: the platform provides security infrastructure, but organizations must configure and enforce it correctly. This guide breaks down how to do that across cloud environments, cluster configurations, and governance layers.
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