This document explores the red‑hat perspective on how malicious actors probe, manipulate, and exploit vulnerabilities in modern LLMs (Large Language Models) such as GPT, Claude, Gemini, and open‑source variants like LLaMA. By studying these techniques, defenders can build stronger safeguards and anticipate emerging threats.