Policy evaluation & least privilege

P56.policy-as-code.01 · Audience: guest, it-ml, language-pro · Prerequisites: AuthZ models: RBAC, ABAC, ReBAC

Real LLM grading for this pageLLM grading (this page):

Cloud IAM expresses access as policy documents — statements of effect/principal/action/ resource, often with wildcards. Getting the evaluation right (explicit-deny precedence, default deny) is where systems are won or lost. This track builds the evaluator, then the least-privilege discipline that keeps grants tight.

Ask the mentor about this module

Ask a question about this content. The mentor explains and grounds its answer in what you are studying; asking is recorded as a learning signal, not a grade.

Images, PDF or text. Kept on this device only.
Keeping your files on this device

Off by default. The mentor always gets your file; this only decides whether your own copy stays here. Copies live in this browser only - they do not follow you to another device, and clearing site data removes them.

Ctrl/Cmd + Enter to send
Rung 1 — a policy evaluator: explicit deny wins

Loading exercise…

Rung 2 — minimise to least privilege

Loading exercise…

My notes on this module

Loading your notes...

Policy evaluation & least privilege — TransformerLab