Govern AI accounts around people, not individual providers
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Multiple AI providers create separate accounts, IDs and audit trails. Matching them to Entra ID creates a unified governance view of access, ownership and activity.
TL;DR
Enterprise AI is spread across providers, with no provider exceeding 40% of reported use. Rencore recommends matching every AI account to the same person in Entra ID, then governing users, projects, sessions, settings and spend through one inventory. Provider-specific audit retention is finite, so delayed collection loses historical evidence.
Original by Tiina Rytkönen, on Rencore. Read the original
This is our own summary, not a republication or full translation.
Governance takeaway
- Admins/CoE: Match AI accounts to Entra ID identities so users, projects, sessions, settings and spend can be governed across providers.
- Security/Compliance: Check each provider's audit-log retention and collect evidence early, because retention is finite and older activity may be unavailable.
- Leadership/Business: Treat multi-provider AI as an estate rather than isolated tools, because each provider covers only part of enterprise usage.
Frequently asked questions
Why can’t one AI provider’s admin console govern all enterprise AI accounts?
It cannot govern other providers because each console sees only its own users, projects, IDs and audit events. Cross-provider identity remains unjoined.
How does Entra ID help match accounts across multiple AI providers?
Entra ID provides the organisational identity used to match separate AI accounts to one person. It does not automatically contain each tool’s projects, settings, spend or files.
Why should organisations collect AI audit logs before an incident?
AI audit retention is finite and varies by provider and plan. Activity older than the retention window is unavailable, limiting reconstruction of past events.