Investigating LLM Jailbreaking of Popular Generative AI Web Products
1 min read
Summary
Many companies are using artificial intelligence (AI) to develop and strengthen their Generative AI (GenAI) products, which can create content such as emails, poems, and images, by leveraging large volumes of data.
Unfortunately, these companies are focusing more on developing their products and gaining commercial advantages, and not on understanding and mitigating the security risks associated with this technology.
To address this gap in security, researchers from GenAI conducted an in-depth study of popular GenAI web apps to see how jailbreak techniques affect these products.
They found that the majority of tested apps remained susceptible to jailbreaking, where an attacker can prompt the model to generate unsafe output or leak sensitive information.
However, they also found that some single-turn jailbreak techniques remained highly effective, while others were less effective, suggesting that LLM providers are actively working to address these vulnerabilities.
These findings underscore how important it is for companies to adopt a holistic approach to cybersecurity as they develop and roll out GenAI products, which can significantly hamper their attack surface area.
