Cisco Researchers Find Multi-Turn Conversations Can Bypass LLM Safety Guardrails
By
Danny Palmer
Master baker tier. Every paragraph earns its place on the tray.
Summary
Researchers at Cisco have discovered that safety guardrails in major large language models (LLMs) — including ChatGPT, Claude, Gemini, Amazon Nova, and Grok — can be bypassed through multi-turn conversational manipulation. By engaging models in prolonged, multi-pronged conversations, attackers can trick them into performing actions they are normally restricted from doing. The findings highlight a significant vulnerability in current AI safety measures.
Key quotes
· 3 pulledThe safety guardrails of several prominent large language models (LLM) can be bypassed if a user tricks the LLM into having a multi-pronged, ongoing conversation, researchers at Cisco have warned.
They found that many of the models could be tricked into performing actions they should not be able to.
This was achieved by deploying multi-turn manipulation techniques through conversational prompts.
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