Data no longer lives in fixed locations. It moves continuously across SaaS applications, endpoints, cloud platforms, and generative AI tools—often without clear ownership, visibility, or control. First-generation Data Security Posture Management (DSPM) was built to inventory and classify data at rest, but it wasn’t designed to secure data as it moves, transforms, and interacts with AI.
As AI adoption accelerates, organizations need more than static visibility. They need continuous, contextual protection that follows data everywhere it goes.
Join this webinar to learn why legacy DSPM approaches fall short—and how next-generation data security strategies protect sensitive information across its full lifecycle, from creation to AI consumption.
In this webinar, you’ll learn:
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Why visibility alone isn’t enough to secure data in dynamic, AI-driven environments
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How next-generation DSPM tracks and protects data across its entire lifecycle—not just at rest
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Where legacy DSPM and DLP leave critical blind spots that expose sensitive information
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How AI-driven context enables smarter risk prioritization and faster, more effective response
