Episode 49 — Control Access and Least Privilege: Who Can Use, Train, and Deploy Models (Domain 3)
Access control is a fundamental administrative and technical requirement for maintaining the security of the AI lifecycle in Domain 3. This episode focuses on the implementation of Role-Based Access Control (RBAC) to ensure that only authorized personnel can access training data, modify model architectures, or trigger a production deployment. For the AAIR exam, candidates should understand the principle of least privilege as it applies to the distinct roles of data scientists, developers, and operations teams. We discuss the risks associated with shared credentials and the importance of Multi-Factor Authentication (MFA) for accessing sensitive AI development environments. Specific attention is given to the "deploy" privilege, which should be restricted to prevent unauthorized or untested models from entering the production environment. By enforcing these access boundaries, organizations reduce the risk of internal threats and accidental configurations that could lead to data leakage or system compromise, ensuring that every change to the AI ecosystem is authorized and accountable. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
