Every team that moves an AI model from experimentation to production hits the same wall. The model works. The serving stack works. Then someone asks how the continuous integration (CI) pipeline is going to authenticate, and the room gets quiet.What happens next is predictable. A developer's personal token gets copied into a secret. Or a service account gets created with more access than anyone intended, shared across pipelines, and forgotten. The traffic flows. Nobody knows whose budget it counts against. When that developer moves teams 6 months later, the credential lives on in places nobody knows about.API keys in Models-as-a-Service (MaaS) exist to fix this. Not as another credential system, but as the way applications join the same governed access model that already works for people.MaaS in Red Hat OpenShift AIMaaS, recently released as a generally available (GA) capability in Red Hat OpenShift AI, is a strategic approach to delivering AI models as consumable, shared resources through centralized API endpoints, allowing users across an enterprise to access them on demand.This system is powered by an embedded AI gateway, leveraging Cloud Native Computing Foundation (CNCF) projects and open source standards such as Envoy, Kuadrant, and Istio.When you create an API key, it binds to an administrator-defined subscription, defining which models the team can use, how many tokens they can consume, and under whose name the usage is tracked. That binding happens at creation time, not later, and not optionally. It's what separates this from just another API key system.The application never needs to know any of this. It has a bearer token. The platform takes care of the rest.Say a team has analysts querying a Granite model interactively through the platform. When they want to add a nightly batch pipeline, they create a key, choose their subscription, and hand it to the pipeline configuration. The pipeline runs under the same rules as the analysts.In practice, creating a key takes a few clicks in the OpenShift AI dashboard. You give it a name, choose the subscription it belongs to, and the key is returned once.Create API key dialog in the OpenShift AI dashboard, showing name, description, subscription (with available models and token limits), and expiration fields.The key is returned exactly once. From that point, the pipeline uses it like any OpenAI-compatible endpoint: