Authentication, Authorization, and Security Gaps
Understand the critical differences between authentication and authorization and learn how to identify and fix security gaps in AI system integrations. Explore when and where authorization must be enforced, how to scope credentials properly, and why a server-side check at execution is essential to secure AI-powered architectures. This lesson equips you to evaluate security controls beyond authentication to create robust, compliant solution designs.
The previous lesson addressed what capability each of Atlas’s components holds. This lesson addresses two questions layered on top of that one: when a component calls into a credit bureau service, a core banking API, or a document store, how does the receiving system know it is really talking to that component, and once it knows, what is that component actually allowed to do. These are two different questions, and a system that answers the first one perfectly can still fail the second one badly. Earlier, we noted that a critical rule needs a programmatic backstop at the point of execution rather than a prompt instruction alone; this lesson builds out exactly what that backstop looks like for authorization specifically. In this lesson, we will cover:
Why authentication and authorization are separate questions, and why confirming one says nothing about the other
Where authorization actually has to be enforced, and why a prompt instruction, a UI restriction, or a caller’s own claim never counts
How to scope credentials by role and by session instead of issuing one broad credential everywhere
A framework for finding authentication and authorization gaps in an integration that looks secure on paper
Authentication and authorization are two different questions
Authentication answers who or what is making this request. Authorization answers what that verified identity is actually allowed to do. A system can get the first one completely right and still have a ...