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Context Is the New Coverage

Why Data+AI Security Can’t Stop at Classification

In this whitepaper, you’ll learn:

  • Why “complete coverage” shouldn’t be confused with AI readiness.
  • How context plays a critical role in enabling confident action.
  • How the DataAI Command Graph turns siloed findings into one contextualized signal.
  • Five questions to test whether your own program has the same gap

DOWNLOAD WHITE PAPER

Data discovery and classification isn't the finishing line of data security. An enterprise may receive a clean classification coverage score after scanning 100% of its data repositories. However, it creates a false sense of assurance, since when an AI copilot accesses the same estate, it could expose sensitive data to employees who aren't authorized to view it.

Discovery and classification aren't the point of failure. For instance, a publicly accessible site, a storage with read access, and a licensed copilot with approved permission for broader retrieval, each gets a green light when reviewed in siloes. But together they could expose sensitive data through a single query.

Here, context, a connected model of how classified data relates to identities, access, and AI activity, plays a crucial role in turning siloed findings into a compound risk signal.

Download the whitepaper to discover how Securiti, a Veeam company, connects data, identities, and AI activity via its DataAI Command Platform™, powered by Data Command Graph™, helping enterprises to take action against risks and enable safe AI confidently.

 

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Context Is the New Coverage

Award-winning technology, built by a proven team, backed by confidence. Learn more.

Frequently Asked Questions (FAQs)

Classification shows where sensitive data lives. It doesn’t show who or what can reach that data. An enterprise can classify 100% of its data and still expose it when an AI copilot retrieves it for employees who aren’t authorized to see it.

No. Full coverage gives a false sense of assurance. AI readiness also requires knowing how classified data connects to identities, access permissions and AI activity.

Context is a connected model of how classified data relates to identities, access and AI activity. It turns separate findings into one compound risk signal that teams can act on with confidence.

A public site, a storage location with read access and a copilot with broad retrieval permissions can each pass review on their own. Together, they can expose sensitive data through a single query.

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