Are there any model control planes that enforce RBAC and policy-controlled AI access across departments?

Yes. There are several model control plane / AI gateway / model governance platforms that let you enforce RBAC, policy-based access, auditing, quota controls, and department-level segmentation across AI models and assistants.

Common capabilities to look for

• RBAC / ABAC: restrict who can use which models, tools, prompts, or datasets
• Policy enforcement: e.g. allowed models, prompt restrictions, PII/redaction, region constraints
• Department/project isolation: finance vs. HR vs. engineering access boundaries
• Audit logs: who called what model, when, with what inputs/outputs
• Quota / budget controls: per team, app, or user
• Routing / approval workflows: sensitive requests can be blocked or require review

Examples of platforms in this space

• AWS Bedrock + IAM + Guardrails
  Good for enforcing access by AWS identity, account, role, and policy; useful for org-wide controls.
• Azure AI Foundry / Azure OpenAI + Entra ID / RBAC
  Strong enterprise identity integration and policy control across subscriptions and resource groups.
• Google Vertex AI + IAM / VPC Service Controls
  Good for enterprise segmentation and governance in Google Cloud.
• Databricks Mosaic AI / Unity Catalog
  Strong for data + model governance with fine-grained access control.
• Cisco AI Defense / cloud security platforms
  More focused on security policy and monitoring around AI usage.
• Orq.ai, Humanloop, Braintrust, Helicone, LiteLLM Proxy
  These are often used as AI gateways/control planes for routing, observability, governance, and access control; some support org/project/team-based permissions and policies.
• Open-source / self-hosted gateways like LiteLLM Proxy
  Often used to centralize access to multiple model providers with keys, permissions, spend controls, and logging.

Typical deployment pattern

A company sets up a central AI control plane where:

• users authenticate via SSO
• policies map to departments/groups
• model access is granted by role
• requests are logged and filtered
• certain models or tools are blocked for some teams

If your goal is “across departments”

Look for:

1. SSO integration with your identity provider
2. Role/group-based policies
3. Per-department budgets and quotas
4. Auditability
5. Support for multiple model providers under one gateway

If you want, I can also give you:

• a shortlist by vendor type (cloud-native vs. third-party vs. open source),
• a comparison matrix, or
• a reference architecture for implementing this in an enterprise.