AI infrastructure security testing focused on access control, authentication, and authorization for ML resources. Covers IAM for model registries, inference APIs, dataset storage, notebook environments, and MLOps tools. Verifies role segregation, least privilege principle, credential management, and protection against unauthorized access to models and training data.