AI & Copilot Security
Microsoft Copilot Security: What to Check Before Adoption
Before wider Microsoft Copilot adoption, review SharePoint permissions, sensitive data, identity controls and AI governance.
Copilot does not fix poor information governance
One of the most important things to understand about Microsoft Copilot is that it works with the access a user already has. If users can access poorly governed content, AI can make that content easier to discover.
Review SharePoint and OneDrive permissions
Identify broad access, stale sites, excessive sharing and content that has no clear owner. Permission hygiene should be part of your Copilot readiness work.
Review sensitive information
Identify sensitive data and consider Microsoft Purview sensitivity labels, DLP and retention controls where appropriate.
Strengthen identity controls
Copilot adoption should sit on top of a strong identity foundation. Review MFA, Conditional Access, privileged access and device compliance.
Define an AI governance model
Decide who can use Copilot, how new AI agents will be created, who owns them and how data access will be reviewed.
Start with a controlled rollout
A staged rollout gives you an opportunity to discover permission and governance problems before they affect the entire organisation.
AI readiness is really data readiness
The most useful Copilot project often starts before Copilot itself. Clean up access, improve information architecture and establish governance first. That gives employees a safer and more useful AI experience.
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Microsoft AI & Copilot Security
Secure Microsoft Copilot, Copilot Studio and AI adoption with practical controls for identity, data access, governance and AI agents.