Configuring AI Governance
Control AI usage, security, and access across your Prisme.ai platform.
AI Governance is the control tower of your Prisme.ai environment. It allows administrators and IT leaders to monitor, secure, and govern the use of AI across all products and teams.
You can manage:
- Authentication and SSO providers
- RBAC (role-based access control)
- Workspace provisioning and quotas
- Interface customization
- User feedback and platform policies
Initialization
To enable AI Governance, you must generate a super admin token:
Step 1: Get your JWT token
Log in to Prisme.ai with a super admin account and retrieve your JWT from the access-token
cookie.
Step 2: Generate the long-term token
Use the following command from inside the Prisme.ai internal network (or from a pod):
Step 3: Inject the access token
In the AI Governance secrets, paste the token under the adminAccessToken
field.
Step 4: Configure API access
Get your workspace ID from the browser and add:
This can be injected via Helm values under prismeai-console.workspace_ops_manager
.
Interface Personalization
Roles and Permissions
AI Governance uses RBAC to manage platform access:
- Assign the
PlatformAdmin
role to users for full control - Use
PlatformManager
to delegate governance tasks - Refine access to each product under the Roles tab
Default roles include Admin
, Builder
, KnowledgeAdmin
, User
, etc.
To give a user access to AI Governance:
- Go to Users & Permissions
- Assign the PlatformManager role in the Manager column
Best Practices
Centralize Security
Use AI Governance to enforce consistent authentication and SSO across all products.
Granular Access Control
Customize RBAC to fit your organizational structure using role templates and groups.
Audit Everything
Combine Governance and AI Insights to trace user actions, model usage, and data access.
Govern by Group
Automate workspace provisioning per group using initializeGroupProducts
.
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