# What is red-teaming? Red Teaming is roleplaying as an attacker. A practice dopted from the military into infosec and then info machine learning eval, in red teaming, humans try to get a system to fail. Humans are pretty creative, and usually up-to-date, and this works pretty fine. Resources about red teaming: * Red Team Guide, * NVIDIA AI Red Team: An Introduction, One thing the human activity of red teaming doesn’t do is to *scale*. It’s great for intelligence gathering, and as a source of generative material for creativity, but it doesn’t scale great. Human expertise is expensive, and good red-teamers are few and far between. I’m not saying that many red teamers are bad — simply that there aren’t many people who can do this well in the first place. What if we could automate some of the basics? --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.garak.ai/garak/automatic-red-teaming/what-is-red-teaming.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.