Background
In enterprise AI applications, uncontrolled privilege assignment can easily lead to sensitive data leakage or resource misuse.Dify-Plus addresses this issue with targeted privilege optimization features.
prescription
- hierarchical authority control: Set different roles (administrator/general member) in "User Management" of the Management Center, non-administrators hide API keys and other sensitive information by default.
- operational limitation: via the permission interceptor in the source code (search for
permission_required(Marking) Limit critical operations such as model closure/deletion - visualization: Real-time display of user operation logs in the background and traceability of abnormal behavior
Implementation steps
- Deployment is done in the
.envSetting the initial administrator account - After login, go to "User Management" → "Role Configuration" to check the permission items.
- Remove the checkbox for advanced privileges such as "Model Provider" for regular member accounts.
strengthened proposal
Can be modified for secondary development if finer granularity control is requiredbackend/api/core/auth/The permissions middleware under the
This answer comes from the articleDify-Plus: an on-premises management backend for DifyThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of confusing permissions for AI applications within your organization?
