RBAC in Practice
Role-Based Access Control assigns permissions to roles rather than individual users. Users are then assigned roles, making permission management scalable. In AI systems, RBAC controls who can train models, deploy endpoints, or access sensitive data.
Policy Evaluation
A policy engine evaluates each access request against the user's roles and the resource's required permissions. The engine returns allow or deny — there is no middle ground.
In production systems, default-deny is the safest approach. If no policy explicitly allows an action, it is denied.
Key Takeaway
RBAC + default-deny + policy evaluation = scalable, auditable access control.