Granting permissions by role rather than to individuals - the access-control model that AI systems extend to models, agents, and tool calls.
Role-Based Access Control (RBAC) assigns permissions to roles, and roles to users, so access is managed by function rather than person by person. It made access control scalable and auditable: you can answer 'who can do this?' by inspecting roles instead of chasing individual grants.
AI systems extend the same idea past human users to models, agents, and tool calls - binding each action to an identity and a scoped set of permissions, evaluated at runtime. It pairs naturally with least privilege and zero-trust: grant the minimum a role needs, deny the rest by default.
Talk to our team about deploying DataStrict across your enterprise stack.