Beginner path into AI security and red teaming
A software engineering student with backend experience wants to move into AI security and security. The main areas of interest are , jailbreaks, attacks, data leakage, and AI agent exploitation.
Traditional has clearer study paths and learning resources, while AI security feels newer and harder to map. The practical needs are courses, labs, platforms, books, vulnerable AI apps for practice, and portfolio project ideas.
Another key question is how much knowledge is needed before building and testing these systems. The current background is software engineering, backend development, Linux, networking, and general , but not strong experience.
Key points
- The focus is AI security, security, and AI .
- The topics include , jailbreaks, attacks, data leakage, and AI agent exploitation.
- Useful resources would include courses, labs, platforms, books, and vulnerable AI apps.
- Portfolio projects for AI security or AI roles are a major concern.
- The question asks whether strong knowledge is needed before starting.