Complete Guide to LLM Security Testing
What You Will Learn:
Definition and significance of LLMs in modern AI
Overview of LLM architecture and components
Identifying security risks associated with LLMs
Importance of data security, model security, and infrastructure security
Comprehensive analysis of the OWASP Top 10 vulnerabilities for LLMs
Techniques for prompt injection attacks and their implications
Identifying and exploiting API vulnerabilities in LLMs
Understanding excessive agency exploitation in LLM systems
Recognizing and addressing insecure output handling in AI models
Practical demonstrations of LLM hacking methods
Interactive exercises including a Random LLM Hacking Game for applied learning
