red team

A structured methodology for red teaming large language model applications — covering attack taxonomy, scoping, tooling (Garak, PyRIT, PromptBench), and how to translate findings into actionable security improvements.

Research demonstrates that LLMs with large context windows can be reliably jailbroken by embedding hundreds of fictitious dialogues before the target request — a technique that scales with context length and bypasses standard safety training.