Security teams are being asked to secure sensitive data across cloud, SaaS, and AI pipelines, often without reliable visibility into where that data lives, who can access it, and how it moves. Those blind spots create exposure risk and slow down decisions.
That’s why Data Security Posture Management (DSPM) is becoming essential. DSPM helps you continuously discover sensitive data, understand access and exposure, prioritize what to fix first, and enforce controls that keep pace with modern data and AI workflows.
This report analyzes how threat attackers adapt and which proactive defense strategies work best to ensure cyber resilience in all environments.
Get guidance on:
- A modern DSPM blueprint: The architectural pillars of DSPM and how to apply them across real enterprise environments.
- A 5-step framework for AI-era security: Discover shadow AI, assess risk, map data and AI flows, implement controls, and comply with confidence (e.g., NIST AI RMF, EU AI Act).
- How to operationalize DSPM: How a unified, context-driven approach can help you spot AI-related data risk faster, prioritize remediation, and reduce manual effort.
- And more!
Point tools and one-time assessments can’t keep up with how fast data and AI change. Download The DSPM Architect’s Handbook to get a practical framework for reducing sensitive data exposure, improving shadow AI oversight, and strengthening your data security posture.