Why AI Control Planes Need More Than Standard RBAC to Stay Secure

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As AI gateways evolve into full control planes, managing who can alter enforcement configurations—not just access them—becomes a critical security concern. A robust permission model must distinguish between configuration changes, policy changes, and authority changes, since most dashboards present all three identically. Bifrost's RBAC model addresses this with 42 distinct permissions across 16 resource types, with Admin, Developer, and Viewer roles receiving 42, 27, and 14 permissions respectively. Organizations can integrate existing identity providers like Okta or Entra for authentication while letting the control plane handle granular authorization, with role assignments synced each session. Two key risks remain: permissions default to fully open unless provisioning is explicitly enabled, and when users hold multiple roles, the highest-privilege role applies rather than the intersection, quietly undermining least-privilege principles.

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