Red-Teaming
Deliberately attacking your own model or system to find its failure modes before a real adversary does.
Red-teaming means adopting an attacker’s mindset against your own AI system — trying jailbreaks, prompt injection, edge-case inputs, and adversarial framing — specifically to surface unsafe or embarrassing outputs before shipping. For LLMs it’s become a standard pre-release step precisely because the failure surface (arbitrary natural-language input) is too large to fully enumerate any other way.