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AI Security & Red Teaming

Attack and defend AI systems: injection, jailbreaks, agentic risks.

Advanced6 modules · 29 lessons · ~7 min

This protocol is still being written. Follow the Discord to hear when it drops.

1

Why AI Fails

Know your target: how and why models break.

0/5 lessons completed · ~7 min
2

Prompt Injection

The #1 vulnerability of LLM apps, and why it's still unsolved.

0/5 lessons completed
3

Jailbreaking & Red Teaming

Bypassing guardrails, and doing it responsibly.

0/5 lessons completed
4

Attacking the Model

Attacks on training data, weights, and privacy.

0/4 lessons completed
5

Agentic Security

Securing agents: tools, MCP, permissions, blast radius.

0/5 lessons completed
6

Defending AI Systems

The defender playbook: guardrails, filtering, evals, architecture.

0/5 lessons completed
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