Authorization in Python: Best practices and patterns that won’t bite you later

In the realm of Python APIs, effective authorization is crucial to prevent security vulnerabilities, particularly when using JWT-based authentication. The text emphasizes the importance of distinguishing between authentication (authn) and authorization (authz) and outlines a comprehensive checklist for implementing robust authorization. Key points include centralizing policy decisions, using declarative policies over imperative checks, and ensuring model-agnostic enforcement to adapt to evolving requirements such as RBAC or ABAC. It cautions against common pitfalls like mixing authorization logic with business logic and embedding roles directly into the application code, which leads to maintenance challenges. The piece also highlights the necessity of verifying JWTs thoroughly, enforcing tenant isolation, and keeping access tokens short-lived to minimize risks. It advocates for a systematic approach to authorization, including auditing decisions, testing policies rigorously, and planning for token revocation. For those seeking to simplify this process, the post suggests using WorkOS RBAC, a managed roles-and-permissions system, to handle the complexities of authorization while allowing developers to focus on core product features.