AI knowledge hubs can make organizational information easier to find, but they can also expose sensitive content when permissions, source libraries and user roles are poorly designed.
This whitepaper provides a practical framework for securing AI-assisted knowledge retrieval. It explains how identity, Microsoft 365 permissions, SharePoint access controls, content classification and AI configuration work together to determine what information each user can access.
The guide covers permission architecture, role-based access, restricted content, inherited permissions, threat modeling and persona-based security testing. It also provides procedures for identifying permission leakage, validating responses, handling security incidents and reviewing access as employees and responsibilities change.
Organizations can use this framework to evaluate an existing AI knowledge hub or establish security requirements before implementation. A production-readiness checklist helps leadership, IT teams and knowledge owners confirm that the system is governed, tested and prepared for employee use.
