Most AI security education is broken from day one because it assumes you have two things: an unlimited corporate credit card for OpenAI API tokens, and a dedicated multi-GPU server under your desk. The moment you step into a classroom, a community college lab, or a locked-down enterprise environment, you hit three immediate roadblocks:

Unpredictable Cloud API Costs : Running prompt injection fuzzing or red-team probing against OpenAI or Anthropic endpoints runs up credit cards fast.

Institutional Lockdown : University, college, and corporate IT departments tightly restrict what software can be installed on lab workstations.

Hardware Anxiety : Enterprise AI models require beefy multi-GPU server clusters that students and independent practitioners simply do not own.

To solve this, I developed a zero-cost, fully containerized AI security lab for my fellowship demonstration with the NCyTE Center (National Center for Cybersecurity Education).…