Location alone can't prove control. Everpure governs data everywhere it lives.
90%
62%
Nearly all leaders agree data sovereignty is core to their strategy, but most haven't turned that into a formal plan yet. Many can't say for sure where their sensitive data lives, and even fewer can say who can access it or how it's managed.
That's the gap the organizations ahead of the curve are closing, not by locking every workload inside their own borders, but changing how they manage data.
How visibility turns data sovereignty from a claim into control.
Gartner® examines how organizations are approaching data sovereignty as an ongoing data-management discipline rather than a one-time compliance requirement.
A practical path from claimed sovereignty to sovereignty you can prove, wherever your data lives.
Without a strong data foundation, sovereignty is a claim, not a strategy.
Continuous visibility into where data lives and who can reach it means fewer surprises and fewer places for a fine or breach.
Automatically classify every asset by jurisdiction and sensitivity so it's clear what belongs in a sovereign environment.
Classified and jurisdiction-bound before it reaches a model, so AI initiatives don't stall on governance debt.
One unified storage platform. No more data scattered across regions and vendors you can't fully see.
One unified plane. Enforce policy and access rules no matter which environment or jurisdiction the data sits in.
One data intelligence layer. Always know where your data lives and who can access it.
Sovereignty starts with knowing what you have. Assess the data you hold, where it resides, and who can access it.
Blanket policies protect low-risk data while missing real exposure. Rank every workload by risk, apply sovereign controls only where needed.
AI made sovereignty urgent in a way compliance checklists never did. Be deliberate about which data and models need protection.
Learn how to implement these data sovereignty core requirements and more.
Gartner, How CIOs Can Establish AI Sovereignty Through Data Management, By Bettina Tratz-Ryan, Mike Fang, Lydia Clougherty Jones, Dean Lacheca, Daniel Nieto, 15 Mar 2026.
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