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公式動画&関連する動画 [How to Configure IAM and RBAC in Oracle AI Data Platform]
Learn how Oracle AI Data Platform uses OCI Identity and Access Management and role based access control to secure platform resources, workspaces, and catalogs across teams. Explore additional information on how IAM policies and RBAC roles work together to support scalable access management, least privilege security, and controlled collaboration inside Oracle AI Data Platform at the resources linked below.
This tutorial explains how OCI Identity and Access Management policies and role based access control work together to secure an Oracle AI Data Platform environment. The walkthrough begins by reviewing how OCI IAM policies act as the primary authorization mechanism at the cloud infrastructure layer, controlling which users and groups can access specific resources and actions within defined scopes. It then demonstrates how Oracle AI Data Platform validates required IAM policies during provisioning and explains the differences between standard and advanced policy configurations. The tutorial also reviews optional policy capabilities that support additional object storage management and lifecycle controls. After provisioning, the tutorial focuses on role based access control inside Oracle AI Data Platform Workbench, showing how administrators can manage permissions for catalogs, workspaces, and users at scale. It demonstrates how to create custom roles, assign users consistently across projects, and grant workspace access without extending broad administrative privileges. Along the way, the tutorial highlights how IAM and RBAC complement each other to support secure collaboration, scalable governance, and structured access management across Oracle AI Data Platform environments.
0:00 Security Model Overview
0:38 IAM Policies in OCI
1:09 Policy Configuration Options
1:58 Introduction to RBAC
2:27 Custom Roles and Permissions
3:18 Assigning Workspace Access
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