Home / Companies / Permit.io / Blog / Post Details
Content Deep Dive

Stop Rebuilding Permissions in Application Code

Blog post from Permit.io

Post Details
Company
Date Published
Author
Or Weis
Word Count
1,662
Company Posts That Month
1
Language
English
Hacker News Points
-
Post removed?
No
Summary

As SaaS products grow beyond simple administrator, member, and viewer roles, authorization requirements often become contextual, tenant-specific, customer-configurable, and subject to auditing, making scattered application-code checks difficult to maintain and explain. The article distinguishes authentication, which establishes identity, from authorization, which determines whether a principal may perform an action on a resource under particular conditions, and argues that identity providers and JWT claims should not serve as complete permission systems. It recommends separating centrally managed policies from locally enforced decisions through a control plane and local Policy Decision Points, avoiding remote authorization calls on critical request paths while allowing policies and data to be updated in real time. Permit.io presents its platform as an example of this architecture, supporting policy engines such as OPA/Rego and Cedar, evolving authorization models from RBAC to attribute- and relationship-based controls, and operational features including administration, GitOps, synchronization, and decision logs. The proposed migration approach is incremental: define permissions in product terms, move high-friction domains first, enforce checks in the backend, align frontend behavior afterward, and use decision logs to validate outcomes and support compliance evidence.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Platform Engineering 6 358 65 25 -70%
AI Agents 1 931 231 103 -84%
MCP 1 2,241 148 72 -74%
Real-time 1 649 155 80 -85%
Vector Search 1 265 57 33 -89%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.