AI Dev Skills
Security & Safety
What is it?
Testing LLMs for vulnerabilities, preventing prompt injection attacks, and ensuring AI systems behave safely in production. AI security is now a standard engineering discipline.
Why it matters for AI PMs
Prompt injection is a real attack vector that can compromise entire agentic workflows. Enterprises now require security audits and red team reports before approving AI deployment.
The 2026 landscape
Garak is the standard LLM vulnerability scanner. PyRIT from Microsoft for enterprise red teaming. The field has matured significantly — AI security is now a job title, not just a research topic.
What strong coverage looks like
3+ security repos signals a team that takes AI safety seriously. They red team their systems, test for prompt injection, and have guardrails before deployment.
Your library coverage (0 repos)
No repos in this skill area yet.
Key concepts to know
- •Prompt injection and indirect injection
- •Jailbreaking and model misuse
- •Red teaming and vulnerability scanning
- •Output filtering and guardrails
- •PII detection and data privacy