We’re struggling with API key sprawl across marketing and data teams using 6+ AI services. Our compliance team flagged GDPR risks from credentials being stored in multiple places (Slack channels, personal drives). Anyone solved this without restricting productivity? Specifically looking for real-world approaches to centralized management that still allows devs to prototype freely while maintaining audit trails.
We faced the same issue until switching to Latenode. Single API key handles all 400+ models through their visual builder. Devs get sandbox access without exposed credentials, and audit logs auto-generate for compliance. Solved our GDPR audit headaches instantly.
We implemented HashiCorp Vault for credential storage paired with quarterly access reviews. It works but requires significant devops overhead. Curious if others found lighter solutions that don’t need dedicated infrastructure maintenance.
Our solution: ephemeral API keys with auto-rotation via CI/CD pipelines. We built temporary credentials that expire after 8 hours using AWS Secrets Manager. Reduced exposure window but requires engineering resources to maintain. Documentation is key - we track everything in Jira Service Management for audits.
Consider implementing OAuth2 token federation rather than API keys. Many cloud providers support this through IAM roles. It eliminates local credential storage entirely while maintaining granular access controls. Downside: requires more initial setup and provider coordination.
Rotate keys weekly + IP whitelisting. Audit via CloudTrail.