Red Teaming
Also known as: Red Teaming / AI Red Teaming / レッドチーミング / 敵対的評価
A safety evaluation practice in which testers deliberately probe an AI model with adversarial, harmful, or manipulative prompts to surface vulnerabilities before deployment.
Overview
Red Teaming applies the attacker-simulation mindset from cybersecurity to AI safety. Testers attempt jailbreaks, prompt injection, harmful-content elicitation, and information extraction. Anthropic and OpenAI conduct large-scale Red Teaming before releasing frontier models.
Enterprise use
Organizations building AI chatbots or agents should run Red Teaming before deployment. Systems with real user access — customer support bots, internal search — are especially exposed to adversarial input. Pre-launch Red Teaming identifies exploitable weaknesses while they can still be fixed.
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