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Use case
Prepare your enterprise for safe AI adoption and enable it org-wide with confidence
The problem
Generative AI tools like Microsoft Copilot are transforming productivity – but they also expose your organization to serious data risks if sensitive information isn’t properly governed before adoption.
Before you can secure AI adoption, you need complete visibility into what data your AI tools can access.
Automatically scan and classify sensitive files across SharePoint, OneDrive, Teams, and more – before AI tools can reach them.
Surface files that are overshared, mislabeled, or unprotected and prioritize them for remediation before enabling AI.
Link sensitive data elements to specific data subjects so you understand the full privacy impact of AI accessibility.
Enforce policies that ensure only the right data is accessible to AI tools – and block access to everything
Automatically restrict AI access to files based on sensitivity labels, ensuring high-risk data stays protected.
Identify non-compliant sharing and policy violations in real time and take action before sensitive data is exposed to AI tools.
Identify and remediate redundant, obsolete, and trivial data that unnecessarily expands your AI attack surface.
Give your security and compliance teams the tools they need to enable AI productivity without sacrificing data governance.
Maintain a comprehensive audit trail of all AI data access events to support GDPR, HIPAA, CCPA, and other regulatory requirements.
Monitor AI data access patterns over time and receive proactive alerts when new risks emerge across your environment.
Automate sensitive data governance and policy enforcement so teams can adopt AI tools quickly and securely.
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