Data Security Posture Management (DSPM): best practices guide

Sensitive data is spread across file shares, Microsoft 365, cloud services, and shadow repositories. AI tools can surface any data users have access to, even when that access is excessive. Without clear visibility into where sensitive data lives and who can reach it, security and compliance controls fall apart.

This guide explains how Data Security Posture Management (DSPM) helps organizations identify data exposure, enforce least privilege, and reduce risk across hybrid environments.

What you’ll learn

1. What DSPM is, and how it differs from DLP, DAG, and other security tools
2. The warning signs that indicate data security blind spots
3. The five core DSPM capabilities, from discovery to remediation
4. How to implement DSPM step by step, starting with quick wins
5. What to look for when evaluating a DSPM solution

DSPM isn’t about perfect security. It’s about continuous visibility, prioritized remediation, and proving control over sensitive data as environments and access change.

If you want to move from reactive audits to proactive data risk management, this guide gives you a practical starting point.