---
title: "Configure RBAC permissions | Grafana Cloud documentation"
description: "Configure RBAC permissions"
---

> For a curated documentation index, see [llms.txt](/llms.txt). For the complete documentation index, see [llms-full.txt](/llms-full.txt).

# Configure RBAC permissions

Permissions for creating and managing Machine Learning resources can be configured using [Role-based access control (RBAC)](/docs/grafana-cloud/security-and-account-management/authentication-and-permissions/access-control/) in Grafana Cloud.

## RBAC user-based permissions

You can use RBAC permissions to control which users can view, create, edit, and delete forecasts and outlier detectors.

By default, all users with **Viewer** [basic role](/docs/grafana/latest/administration/roles-and-permissions/access-control/#basic-roles) have access to view all resources, and all **Editor** and **Admin** roles have access to view, create, edit, and delete resources.

The Machine Learning RBAC roles are:

- **ML Editors**:
  
  - Create/edit/delete [forecasts](/docs/grafana-cloud/machine-learning/machine-learning/forecasting/) and [outlier detectors](/docs/grafana-cloud/machine-learning/machine-learning/outlier-detection/)
  - Create/edit/delete [holidays](/docs/grafana-cloud/machine-learning/machine-learning/forecasting/holidays-and-seasonality/)
- **ML Viewers**:
  
  - View [forecasts](/docs/grafana-cloud/machine-learning/machine-learning/forecasting/) and [outlier detectors](/docs/grafana-cloud/machine-learning/machine-learning/outlier-detection/)

### Configure ML permissions access across Grafana

You can modify an individual user’s permissions so that they are able to view, create, edit, and delete forecasts and outlier detectors across the entire Grafana Cloud instance. This is useful when you want to grant individual access to users who don’t have an **Editor** or **Admin** [basic role](/docs/grafana/latest/administration/roles-and-permissions/access-control/#basic-roles).

To grant a user access to view, create, update, and delete Machine Learning forecasts and outlier detectors across the entire Grafana Cloud instance:

1. Sign in to Grafana as an organization administrator.
2. In the left navigation menu, click **Administration > Users and access > Users**.
3. Find the user whose RBAC permissions you want to change.
4. Under the **Role** section, add **Plugin roles -> Grafana AI/ML -> ML Editor/ML Viewer**
5. Click **Apply** to save the changes.