AI Glossary

Role-Based Access Control

An access model that grants permissions according to organizational role and responsibility.

TL;DR

—An access model that grants permissions according to organizational role and responsibility.
—Role-Based Access Control shapes how organizations design controls, ownership, and operating discipline around AI.
—Use the related terms and explanation below to connect the definition to real enterprise rollout decisions.

In Depth

Role-Based Access Control (RBAC) is a foundational security principle that restricts system access based on a person's role within an organization. In enterprise AI governance, RBAC is the mechanism that ensures the right employees have access to the right models, data sets, and administrative controls, while strictly preventing unauthorized access.

Generative AI introduces new complexities to RBAC. It is no longer just about who can log into the application. It is about defining who has permission to use expensive frontier models (like GPT-4) versus cheaper open-source models. It defines who is allowed to create custom AI agents, who can view the audit logs for potential security violations, and who has the authority to increase a department's API token budget.

A mature RBAC system for AI integrates directly with an organization's existing Identity Provider (IdP) like Microsoft Entra ID (Active Directory) or Okta. This allows IT teams to map AI access policies directly to existing corporate groups. For example, members of the 'Legal Team' group might automatically be granted access to a specialized contract-review model and a secure, isolated Team Workspace, while standard employees are restricted to basic conversational AI.

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Related Terms

AI Governance

The policies, controls, and operating practices used to manage AI usage safely at scale.

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Glossary FAQs

By providing controlled, tiered access. If employees know there is an officially sanctioned, secure way to access the AI tools they need based on their role, they are far less likely to bypass IT and use unauthorized personal accounts.

Absolutely. <a href='/features/role-access-control'>RBAC</a> is deeply tied to AI <a href='/features/department-budgets'><a href='/features/department-budgets'>FinOps</a></a>. You can use <a href='/features/role-access-control'>RBAC</a> to restrict access to highly expensive, compute-heavy models only to data scientists or specific engineering roles, while defaulting general employees to faster, more cost-effective models.

The principle of Least Privilege means giving an employee only the minimum level of access necessary to perform their job. In AI, this means not giving a summer intern access to a multi-agent financial forecasting model that queries the live corporate database.

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