Green-Light AI, Not Data Exposure

How security leaders take control at the data layer to accelerate AI

In this whitepaper, you’ll learn:

  • Why AI agent guardrails aren't enough without robust controls at the data layer.
  • How multi-dimensional risks can turn routine agent activities into leakage paths.
  • The five critical controls enterprises must enforce to accelerate the adoption of safe AI agents.
  • How the DataAI Command Platform™ can operationalize those controls with contextual risk intelligence.

    DOWNLOAD WHITE PAPER


    Enterprises are pushing AI agents into production faster than the controls required to protect the data that feeds them. Just set up an AI Copilot and connect it with a SharePoint environment. The next step will be determined not by the AI agent accessing the data, but by the control layer sitting atop it. If that layer is thin, the agent would start surfacing sensitive or confidential documents that it is not supposed to be to people who are not authorized to access them.

    The problem isn’t just visibility but the context surrounding sensitive data, i.e., a toxic combination of risks. These multi-dimensional risks remain hidden until data sensitivity, access, misconfigurations, regulatory context, business impact, and AI are viewed through a single lens as a compound threat.

    The whitepaper guides you through the five controls that run on a single foundation: the Data Command Graph, which fuels the DataAI Command Platform by Securiti, a Veeam company, and enforces consistent controls.

     

    Green-Light AI, Not Data Exposure

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


    Frequently Asked Questions (FAQs)

    Agent guardrails cannot replace controls over the data agents access. Without appropriate permissions, data classification, and policy enforcement, routine AI activity can expose sensitive information beyond its intended audience.

    Toxic combinations occur when sensitive data, excessive access, misconfigurations, and AI activity interact to create an exposure path. These connected risks can be missed when security teams evaluate each finding separately.

    Knowing where sensitive data resides is only the starting point. Security teams also need to understand access permissions, AI usage, regulatory context, and business impact to prioritize risks and enforce appropriate controls.

    The whitepaper explains why agent guardrails need data-layer protection, how combined risks create leakage paths, and how five critical controls can help enterprises accelerate safer AI adoption.

    The platform uses the Data Command Graph to connect data sensitivity, access, configurations, regulatory context, and AI activity. This shared intelligence helps organizations identify compound risks and enforce consistent controls across data and AI.

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    See the platform live

    Ready to see DataAI Command Platform in action?

    See how your team can discover sensitive data, reduce risk, and secure AI usage from one command center.

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