This whitepaper provides a structured framework for evaluating DSPM solutions in cloud and AI-driven environments using the S.A.F.E. model—Scalable, Accurate, Flexible, and Efficient. It highlights key challenges such as data sprawl, regulatory pressure, and fragmented ownership, as shown on page 3, and explains why traditional perimeter security is insufficient. The guide outlines five essential DSPM capabilities, including comprehensive discovery, AI-driven classification, contextual risk analysis, and automated remediation. By adopting a metadata-driven approach, organizations can achieve continuous visibility, prioritize high-risk exposures, and ensure their data security strategy is future-proof in increasingly complex, distributed environments.

Join for free to read