Secure LLM apps, AI agents, and ML systems against prompt injection, data poisoning, and model abuse. Build on web and API security, then learn LLM-specific attacks, AI threat modeling, and governance.
2 courses9 resourcesAI security
Step-by-step path
Web/API security and how LLM apps, RAG, and agents are wired
Prompt injection, jailbreaks, and OWASP LLM Top 10 labs
Threat-model an AI system with MITRE ATLAS and add guardrails and evals
Build a portfolio artifact and publish a short writeup.
Starter stack
Prompt injectionLLM Top 10AI red teamingGuardrails