This guide explores the evolution of Data Security Posture Management (DSPM) in an era where data increasingly moves across endpoints, cloud platforms, SaaS applications, and AI systems. Traditional security models focused on visibility, but modern environments require organizations to move beyond simply knowing where data resides to actively controlling how it is used, shared, and protected. As AI accelerates the creation and movement of sensitive information, proprietary data has become a critical attack surface that existing tools often struggle to secure. The guide outlines the shift from perimeter-based security to Data Security 3.0, emphasizing the need for continuous visibility, contextual understanding, and real-time enforcement. It highlights key pillars of modern data security, i

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