AI Infra Lab
AI Infrastructure Security Game
Securing AI agents, inference services, and model-serving infrastructure introduces new threat classes — prompt injection, model extraction, vector-DB compromise, agent tool abuse. Each scenario drops you into a real AI-platform decision and asks you to spot the gap.
6 scenarios~15 minutesHard
Hard
How the simulator works
- Each scenario shows an AI system component — an agent, an inference endpoint, an MCP server, a vector DB — with a hidden security flaw.
- Identify the issue from four plausible options — the wrong answers explain why they look reasonable but miss the real risk.
- Read the production explanation, follow the link to the relevant lesson, and move to the next scenario.
- Score yourself across all six rounds — covering prompt injection, model extraction, vector-DB access control, agent tool authorization, inference cost control, and MCP server identity.