Protect AI City Like A Real Ops Team
Learn why governance templates exist before filling them. Each district teaches with story, simulation, guided walkthroughs, and mini missions so safety feels practical instead of corporate.
Beginner Glossary
Every advanced term has simple language + metaphor.
Prompt Injection
A malicious instruction designed to trick the AI system.
Regression
A new update that accidentally makes safety or quality worse.
Allowlist
Only pre-approved tools/actions are allowed to run.
Containment
Quickly stopping the spread of a live incident.
Threat Model Template
Goal: What can go wrong in AI systems?
Teams often launch AI features before mapping what attackers might target.
Guardrail Checklist
Goal: What protections should AI systems have before release?
Without release gates, unsafe model behavior reaches real users.
Eval Scorecard
Goal: How do teams know AI is working safely?
Teams ship prompt changes based on vibes instead of measured results.
Incident Runbook
Goal: What happens when AI systems fail in production?
When incidents happen, teams panic without a clear plan.
You should finish this page thinking: "AI systems need safety systems, testing, and emergency planning before real users depend on them."
Operational intuition first. Compliance terminology second.