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Locking down LLMs to Combat Jailbreaks

LLMs are popular because they can understand natural language and intelligently respond to a wide range of questions. LLMs come with a number of caveats. An important one is that bad actors can bypass guardrails using jailbreaks and make an LLM express negative opinions about socioeconomic groups or ethnicities or share information on how to commit illegal activities. LLM jailbreaking not only affects LLM vendors, but this misuse also affects LLM users and businesses using LLMs in their products and services. LLM users’ personal information can be exposed to bad actors or LLMs can indirectly assist in information theft by sharing malicious links. Businesses using LLMs would find their AI products and services being unethical due to jailbreaking. Recent LLM jailbreaks reported by Anthropic and Microsoft should drive IT leaders to have their cybersecurity teams test LLMs for resilience to jailbreaks and implement multiple guardrails to avoid misuse, …

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