Prompt
What should I use for self-service API policy changes?
Latest observation
Oct 5, 2026
OpenAI APIWeb search: off
For self-service API policy changes, the best fit is usually an admin/configuration API or policy management API, ideally backed by a policy-as-code workflow.
Recommended options
-
Policy management API
- Use a dedicated API to create, update, disable, or version policies.
- Best when you want automation, auditability, and integration with internal tools.
-
Admin API / control plane API
- Separate from the runtime/public API.
- Lets authorized users change policy settings without touching infrastructure directly.
-
Policy-as-code
- Store policies in Git or a declarative format like YAML/JSON.
- Changes go through pull requests, reviews, and CI/CD.
- Great for governance and rollback.
Good practice
- Keep policy changes separate from request handling
- Require authentication, authorization, and audit logs
- Support versioning and rollback
- Add approval workflows for sensitive changes
If you mean tooling/platforms
Common choices include:
- AWS IAM / Organizations / SCPs
- Kubernetes admission policies / OPA Gatekeeper
- Apigee / Kong / Tyk / MuleSoft policy management
- Open Policy Agent (OPA) for custom policy evaluation
If you tell me your environment—cloud provider, API gateway, or whether you want end users vs internal teams to self-serve—I can suggest the best specific approach.