AI is only as secure as the data foundation it sits on. Ensure your SharePoint permissions are airtight before deploying Microsoft Copilot to your workforce.
Identify "Everyone" or "Anonymous" access settings that could allow Copilot to inadvertently surface sensitive HR or financial data to unauthorized users.
Deploy Microsoft Purview labels (Confidential, Restricted) that Copilot respects natively, ensuring top-secret content is never used in general AI summaries.
Clean up "Permission Drift" and legacy data. If a document is ten years old and obsolete, it shouldn't be training your organizational AI.
Shift from an "Open by Default" culture to a "Least Privilege" model, ensuring Copilot acts as a precision tool rather than a security vulnerability.
A mid-sized firm discovered an "All Staff" permission on a legacy Payroll folder. By auditing before Copilot, they prevented AI from answering "What is the average executive salary?"
During a merger, a legal team used sensitivity labels to "blackbox" specific SharePoint sites. Copilot ignored these areas entirely, protecting the integrity of the deal.
A healthcare provider used a readiness audit to identify and archive HIPAA-sensitive PDFs that were stored outside of secured document libraries, ensuring AI compliance.