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SafetySecurity Updated 2026

Jailbreak

A prompt crafted to bypass a model's safety training and make it produce content it is meant to refuse.

A jailbreak circumvents the guardrails installed by safety training. Wei et al. (2023) attribute success to two failure modes — competing objectives and mismatched generalisation — and Zou et al. (2023) showed that automatically optimised adversarial suffixes can transfer across many models, including closed commercial ones.

Jailbreaking differs from prompt injection: a jailbreak targets the model's own safety policy, while injection smuggles instructions through data the model processes. Both are active, unsolved security problems.

References

Primary, peer-reviewed and archival sources for this definition.

Jailbroken: How Does LLM Safety Training Fail?
Wei, A., Haghtalab, N., & Steinhardt, J. (2023). Advances in Neural Information Processing Systems 36 (NeurIPS 2023).
Universal and Transferable Adversarial Attacks on Aligned Language Models
Zou, A., Wang, Z., Carlini, N., Nasr, M., Kolter, J. Z., & Fredrikson, M. (2023). arXiv preprint.

Dictionary & encyclopedic entries

Cite this entry

MultipleChat. "Jailbreak." MultipleChat AI & LLM Glossary, 2026. https://multiple.chat/ai-glossary/jailbreak

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