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AI Glossary

Role-Based Access Control (RBAC)

A security model that restricts system access based on organizational roles assigned to users.

TL;DR

  • —A security model that restricts system access based on organizational roles assigned to users.
  • —Understanding Role-Based Access Control (RBAC) is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

RBAC in enterprise AI platforms controls what actions users can perform based on their role — typically Organization Admin, Department Head, or Standard User. Admins configure global policies, department heads manage their teams, and users operate within assigned boundaries. RBAC ensures least-privilege access and supports compliance requirements.

Related Terms

Multi-Tenancy

An architecture where a single platform instance serves multiple isolated organizational units or customers.

AI Governance

The framework of policies, processes, and controls that guide responsible AI development and usage within organizations.

AI Audit

A systematic examination of AI system operations, decisions, and impacts for compliance and quality assurance.

Single Sign-On (SSO)

An authentication method that allows users to access multiple applications with one set of credentials.

Knowledge Hub

Glossary FAQs

Role-Based Access Control (RBAC) is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage a security model that restricts system access based on organizational roles assigned to users.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize Role-Based Access Control (RBAC) through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like Multi-Tenancy and AI Governance.

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