Recent research highlights the effectiveness of the Best-of-N Jailbreaking algorithm, which demonstrates an attack success rate of 89% on GPT-4o and 78% on Claude 3.5 Sonnet. This jailbreaking technique employs methods such as random shuffling and capitalization to manipulate inputs, successfully eliciting harmful responses from AI systems across various modalities. Despite advancements in AI security, experts note that defending against jailbreaking remains a significant challenge. Current defenses fail even in narrow domains, indicating vulnerabilities in state-of-the-art AI systems. The findings were discussed at the AdvMLFrontiers conference, where researchers expressed the need for focused efforts to eliminate jailbreaks before addressing broader harmful behaviors.