AI

Turning On AI’s Built-in Safety Radar

Kari Jaaskelainen

16 Jan 2026 — 1 min read

Jailbreak prompts can still push chatbots to produce harmful content, even after safety training. Many defenses either miss sophisticated attacks or over-block harmless requests.

This paper finds a useful clue: during generation, models carry latent safety signals that spike when content turns risky, but those signals get overridden by the drive to keep writing smoothly.

The authors switch on that built-in radar with in-decoding safety-awareness probing. By surfacing the signal token by token, the system flags danger early and steers the model away before harmful text is produced—without heavy-handed filters.

Early, on-the-fly detection and intervention
Robust against diverse jailbreak styles
Low over-refusal on benign inputs
Preserves response quality

Paper: https://arxiv.org/abs/2601.10543v1 Code: https://github.com/zyz13590/SafeProbing

Paper: https://arxiv.org/abs/2601.10543v1

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AI LLM Safety Jailbreak MachineLearning NLP AIAlignment Security ResponsibleAI

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