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AI Security

For securing LLM apps, AI agents, and machine-learning pipelines. Target role: Securing AI & LLM systems. Expected timeline: 3-6 months.

Security+ base, AppSec fundamentals, vendor AI security badges15+ resourcesAI / LLM Security

Study sequence

  1. Month 1: web/API security and LLM app architecture
  2. Month 2: prompt injection, jailbreaks, and OWASP LLM Top 10
  3. Months 3-4: MITRE ATLAS, AI threat modeling, and guardrails
  4. Month 5+: red-team evals and AI governance (NIST AI RMF)

Portfolio projects

  • LLM application threat model
  • Three prompt-injection lab writeups
  • Guardrail and evaluation demo
  • AI risk register mapped to the NIST AI RMF