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Jailbreaks and Red-Teaming Taxonomy
Jailbreaks are inputs that coax a model into producing content its safety training was meant to refuse, using techniques like role-play framing, encoding, many-shot priming, and gradual crescendo escalation. Red-teaming is the systematic, adversarial process of finding these failures before attackers do. AI, ML, and GenAI interviews probe it because shipping a safety layer means knowing the categories of attack, why alignment is bypassable, and how frameworks like OWASP LLM Top 10 and MITRE ATLAS structure the threat model.
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