If you’ve ever built an application, you’ve likely written a line of code that looks something like this: if user.role == ‘admin’. It’s simple, direct, and it works—at first. This is the deceptive simplicity of authorization. The question of “who can do what?” seems easy enough to answer with a few if/else statements. But as … Read more

As applications grow from simple projects to complex systems, managing who can do what becomes a major challenge. What starts as a simple “admin” vs. “user” distinction quickly evolves into a complex web of permissions for different teams, customers, and features. Bolting on new rules can make the application code brittle and difficult to maintain.To … Read more

1. Introduction: The Evolving Challenge of Application Authorization Managing authorization in modern, distributed, cloud-native applications presents a significant strategic challenge. As applications become more complex and interconnected, traditional authorization models—often hard-coded directly into the application logic—prove brittle and difficult to audit. These legacy approaches are fundamentally insufficient for meeting today’s demanding security and compliance requirements; … Read more

1. The Challenge: Overcoming Brittle, Hardcoded Authorization Embedding authorization logic directly within application code is a pervasive architectural anti-pattern that systematically erodes engineering velocity and expands the attack surface. This approach tightly couples security policies to the application’s release cycle, creating a brittle system where any change to a permission model requires a full rebuild … Read more

As applications grow from simple projects to complex systems, managing who can do what becomes a major challenge. What starts as a simple “admin” vs. “user” distinction quickly evolves into a complex web of permissions for different teams, customers, and features. Bolting on new rules can make the application code brittle and difficult to maintain.To … Read more

1. Introduction: The Universal Problem of “Dirty Data” Imagine scrolling through your phone’s contacts and finding multiple entries for the same person: “Jen Smith,” “Jenny S.,” and “Jennifer Smith-Jones.” While you know they are all the same person, your phone sees them as three separate individuals. This is a simple example of a universal problem … Read more

This article provides an objective assessment of Logto’s market position, derived exclusively from its public-facing value propositions and feature descriptions.

Why Every Developer Needs to Understand Authentication