This guide provides a comprehensive blueprint for implementing Data Security Posture Management (DSPM) to protect sensitive data across modern, distributed environments. It explains how DSPM shifts security from perimeter-based defenses to a data-first approach—continuously discovering, classifying, and securing data across cloud, SaaS, on-prem, and AI systems. Core capabilities include data discovery, AI-driven classification, risk prioritization, and automated remediation. The guide also details DSPM architecture (integration layers, analytics engines, and policy enforcement), along with deployment models such as SaaS and self-hosted, each with trade-offs in control and scalability. It outlines a step-by-step implementation plan, integration with tools like DLP and SIEM, and key benefits

Join for free to read