From Visibility To Control: A Practical Guide to Modern DSPM

Proprietary data is more valuable and more exposed than ever. As data moves rapidly across endpoints, cloud, SaaS, and AI systems, traditional security approaches and legacy DSPM fall short, offering limited visibility and fragmented insight. Modern DSPM is now essential, providing continuous understanding and control over sensitive data so organizations can reduce risk and protect what matters most.
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Explore how modern DSPM can help transform your data security program and mature your security posture.
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Data Has Escaped The Perimeter

Data no longer lives as complete files in controlled systems. It moves as fragmented pieces across tools, environments, and AI workflows, making traditional security models ineffective.
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• Most sensitive data now travels in fragments across browsers, SaaS apps, and collaboration tools, often invisible to file-based controls
• Security stacks are fragmented, with each tool seeing only part of the picture and generating noisy, incomplete signals
• As AI accelerates data reuse and aggregation, small data fragments can carry significant risk without ever being detected
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Organizations Must Embrace Data Security 3.0

Modern data security requires continuous visibility, deep context, and real-time action to keep pace with how data moves, evolves, and creates risk.
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• Holistic visibility and control: See and protect data across endpoints, cloud, SaaS, and AI systems
• Deep data understanding: Go beyond classification to analyze lineage, access, and behavior, enabling accurate risk prioritization
• Operational simplicity at scale: Reduce noise and manual effort with solutions that automate intelligently and enforce protection without disrupting users
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Download the full report to understand how data security is changing, where legacy DSPM has fallen short, and how modern DSPM fills in visibility and control gaps.