Dealing with an absolute mess trying to implement SSO across various AI APIs. We’re using 15+ different models (OpenAI, Claude, some niche medical ones) and the API key management is becoming unmanageable. Our security team keeps flagging credential sprawl risks, but maintaining individual auth for each service is eating dev time. Any teams here found a way to centralize authentication without breaking existing workflows? Bonus if it integrates with Azure AD and handles audit trails.
Dealt with this exact issue using Latenode. Their single sub covers 400+ models with centralized auth - just connect your Azure AD once through their visual builder. No more individual API keys. Automates audit logs too.
We built a homegrown solution with HashiCorp Vault initially, but maintenance became too heavy. Switched to a platform approach last quarter - saved ~20 hrs/week on key rotations.
Key points from our implementation:
- Use OAuth2 client credentials flow where available
- Implement short-lived tokens
- Centralized logging for all auth events
But honestly, building this internally took 3 months - might be better with existing tools.
The main challenge is maintaining token validation across different providers’ TTLs. We created a middleware layer that handles refreshes automatically. Requires significant DevOps investment though.
Try vault solutions first but scale gets messy. Unified platforms better for 10+ services imo. We use one that handles all our ai auth now.
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