  The widespread integration of autoregressive-large language models (AR-LLMs),
such as ChatGPT, across established applications, like search engines, has
introduced critical vulnerabilities with uniquely scalable characteristics. In
this commentary, we analyse these vulnerabilities, their dependence on natural
language as a vector of attack, and their challenges to cybersecurity best
practices. We offer recommendations designed to mitigate these challenges.
