The Cybersecurity Crisis of Artificial Intelligence: Unrestrained Adoption and Natural Language-Based Attacks

We explain that these vulnerabilities derive from the fundamental properties of AR-LLMs and from how users interact with them through natural language-based instructions. We argue that these vulnerabilities--when coupled with how they are developed and distributed by commercial providers and as open-source releases--risk creating a systemic cybersecurity crisis. We offer seven recommendations designed to improve awareness of AR-LLMs' vulnerabilities, how they can be used