Traditional Data Security Posture Management (DSPM) solutions were designed for environments where sensitive data resided in a limited number of known locations. Today, however, data is continuously created, copied, modified, and shared across SaaS applications, endpoints, cloud platforms, on-premises systems, and generative AI tools, making visibility and protection far more complex. Traditional DSPM tools primarily identify where data is stored but often lack the context needed to determine which data poses the greatest risk. As a result, organizations can be overwhelmed by alerts and unable to prioritize meaningful threats. These solutions also provide limited protection once data begins moving across environments, as they typically focus on monitoring rather than enforcement. Modern da

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