What you'll actually do
- Threat-model LLM and AI/ML applications (OWASP LLM Top 10)
- Test for prompt injection, jailbreaks, and data exfiltration
- Implement guardrails and output filters for production LLMs
- Assess model supply chain risk (provenance, AI-BOM)
- Build red-team test suites for AI features
- Advise product teams on safe RAG and agent design
Skills you need
LLM security (prompt injection, RCE via tool use, jailbreaks)Adversarial ML basics (model evasion, poisoning, extraction)Python + ML ecosystem (PyTorch, HuggingFace, LangChain)API and authorization securityOWASP LLM Top 10, NIST AI RMF, EU AI Act fundamentalsThreat modelling for AI/ML systems
Tools & platforms
Garak / PyRIT (LLM red-team frameworks)Lakera / Robust Intelligence (LLM guardrails)Burp Suite (for AI API testing)Promptfoo (eval + adversarial testing)HuggingFace, LangChain, vector DBs (Pinecone, Weaviate)
Certifications to Target
1ISACA AAISM (AI Security Management)
2OWASP LLM Top 10 training
3AWS Certified AI Practitioner
4CompTIA Security+ (foundation)
Who Is a Good Fit?
- → Security Engineers / AppSec Engineers
- → ML Engineers learning security
- → Penetration testers pivoting to AI
- → Software engineers with security interest
Career Growth Path
1
AI Security Engineer → Senior AI Security Engineer2
→ AI Red Team Lead3
→ Head of AI Security4
→ AI Governance Officer (regulated industries)