Role-Based Access Control (RBAC)
A security management method that systematically controls access to AI models, data, and system functions by defining job-based 'roles' rather than granting individual permissions to users within an organization.
Detailed explanation
Why it matters when choosing tools
Enterprise AI tools are often connected to internal company documents, meaning that without RBAC, there is a risk of lower-level employees accessing sensitive RAG data such as HR information. Additionally, because usage costs vary by AI model, RBAC plays a critical role in reducing operational costs by restricting users to models with performance levels suited to their specific jobs.
What to check
- Can custom roles tailored to company characteristics be created in addition to built-in roles (Admin, User, etc.)?
- Does it support integrated management by linking with existing corporate directory systems (SSO, Active Directory, etc.)?
- Can access permissions be configured differently for each RAG data source?
- Can permission to use high-cost models be restricted to specific roles?
Real-world example
A user with a Legal Role can search internal contract databases through AI, whereas a user with a Marketing Role can be restricted to accessing only marketing guideline data even when using the same chatbot.