GovernedUIConsoleTrust
AI-generated UI is safest when the model is treated as a planner, not a trusted executor. The host product enforces component allowlists, server-side permissions, data minimization, action approvals, audit trails, accessibility checks, and versioned review before sensitive UI reaches users.
AI-generated UI security starts outside the model.
The product enforces what data the AI can use, which components it can render, which actions require approval, what gets logged, and how generated UI versions can be reviewed or rolled back.
The model can propose a screen, but the host application authorizes data access and action execution. Generated output is validated against schemas and rendered by trusted components.
Every generated UI run records the user, tenant, prompt, approved capabilities, rendered blocks, policy decisions, version, and action outcomes.
Sensitive generated UI needs approval queues, blocked states, read-only previews, rollback, and developer inspection before risky actions can execute.
High-risk actions should not execute directly from model output. They need server-side authorization, validation, approvals, and audit logging.
The biggest risk is treating generated output as trusted code or trusted authorization. A governed system validates output and keeps permissions in the host product.
GovernedUI constrains generation to approved capabilities, role-aware data access, masking rules, and auditable rendered output.