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Building Secure AI Assistants for Microsoft 365

Security architecture for enterprise Copilot experiences that respect existing permission boundaries.

TRIADVI Engineering·9 min read·Technical Article

Respecting existing permissions

A secure enterprise AI assistant must never surface content a user couldn't otherwise access. Search indexes and retrieval layers should honor the same permission boundaries already enforced in SharePoint and Dataverse.

Identity-aware retrieval

Integrating Microsoft Entra ID into the retrieval pipeline ensures that queries are scoped to what the requesting user is authorized to see — not the full content index.

Private networking and data isolation

Keeping AI Search, Foundry, and storage resources on private endpoints — with no public internet exposure — is a baseline requirement for AI systems handling sensitive enterprise content.

Auditability

Logging every query and response supports both security review and the kind of governance oversight regulated organizations require before adopting AI at scale.

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