You're protecting your data wrong – Introducing the Protected Query Pattern
4 days ago
- #full-stack
- #authorization
- #data-security
- Securing full-stack applications involves managing authorizations across multiple contexts.
- The protected query pattern is introduced as a solution for data authorization challenges.
- A data access layer is essential for secure and maintainable applications.
- Common practices like scattering SQL queries or embedding authorization in queries lead to maintenance issues.
- Protected query pattern wraps pure query functions with an authorization layer, offering methods like `protect` and `unsafe`.
- Benefits include explicit API, co-location of queries and authorization logic, and pure functions for caching.
- Redacting data is addressed elegantly with the protected query pattern, allowing conditional data filtering.
- Kilpi enhances the pattern with centralized authorization logic and easy data filtering capabilities.
- The pattern solves reusability, maintainability, and redactability issues in data authorization.