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Governance & Risk

Jailbreak

A jailbreak is an adversarial prompt or technique that bypasses an AI model's safety guardrails to elicit content or behaviors the model was trained to refuse — for example, hazardous instructions, restricted personal data, or off-policy assertions.

Full definition

Jailbreak families include role-play wrappers (DAN, "grandma exploit"), encoding/translation attacks, many-shot jailbreaks, gradient-based suffix attacks (GCG), and multi-turn social engineering. Anthropic's 2024 paper on many-shot jailbreaking showed that long context windows themselves create new attack surface. Defense layers include input/output classifiers, constitutional AI training, and human review of high-risk categories.

Why it matters

Any LLM exposed to untrusted users will face jailbreak attempts within hours of launch. Treat jailbreak as an inevitable failure mode and design controls accordingly: layered guardrails, content classifiers, and an incident-response runbook for novel attacks.

Example

A customer-support bot ships without an output classifier; researchers publish a jailbreak that extracts the system prompt within 48 hours, embarrassing the vendor and triggering a multi-week patch cycle.

Source & further reading

Primary source: Anil et al. — "Many-shot Jailbreaking" (Anthropic) (2024).

Citation policy: this entry is part of the AIDOLS AI Implementation Glossary and may be quoted for research, journalism, and education with attribution to aidolsgroup.com/ko/glossary/jailbreak/.