State of Attacks on GenAI: Customer Service Chatbots Most Targeted, Jailbreak Techniques Dominate

 The *State of Attacks on GenAI* report found that customer service and support chatbots are the most targeted LLM (large language model) applications, making up 57.6% of all apps studied and 25% of all attacks. Common attack methods include jailbreaks, such as the “ignore previous instructions” technique, which bypasses guardrails, and prompt injections, where unauthorized inputs manipulate the model. Attacks are brief, averaging 42 seconds, with some taking as little as 4 seconds. As AI adoption grows, the report highlights the need for organizations to implement red-teaming and AI security measures to mitigate evolving threats.

https://www.scworld.com/news/llm-attacks-take-just-42-seconds-on-average-20-of-jailbreaks-succeed

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