I'm building a multi-tenant platform and need per-team model access rules; what should I use?

Use a policy-based authorization model with tenant-scoped access control.

For a multi-tenant platform where each team needs its own model access rules, the best fit is usually:

Recommended approach

ABAC or RBAC + tenant isolation

• Tenant isolation: every request is evaluated in the context of a tenant/team ID.
• RBAC if access is mostly role-driven:
  • e.g. owner, admin, member, viewer
• ABAC if access depends on attributes:
  • e.g. team membership, model sensitivity, environment, region, billing plan, request time
• Policy engine if rules are likely to get complex:
  • e.g. OPA (Open Policy Agent), Cedar, or a custom policy layer

What this looks like

A request like:

• user u123
• team teamA
• wants access to model gpt-4.1
• action infer

Would be evaluated against rules like:

• user belongs to teamA
• teamA is allowed to use gpt-4.1
• user role permits inference
• model is enabled for that tenant
• quota/budget not exceeded

If you want the simplest practical setup

Start with:

1. Tenant ID on every resource
2. Role-based permissions per tenant
3. A centralized authorization service
4. Add attribute-based rules later if needed

Good options by maturity

• Simple to moderate complexity: RBAC with tenant scoping
• Complex enterprise rules: ABAC + policy engine
• Highly dynamic or compliance-heavy: OPA/Cedar + audit logs

Rule of thumb

If you’re asking “what should I use?”:

• use RBAC with tenant isolation if permissions are straightforward
• use ABAC/policy-based authorization if model access varies per team, plan, region, or resource type

If you want, I can sketch a database schema and policy model for per-team model access rules.