When AI goes rogue: Exposing the hidden threats in language models

The integration of large language models (LLMs) into digital systems has introduced a new class of security vulnerabilities that challenge conventional cybersecurity paradigms. Despite their utility, LLMs exhibit a range of exploitable behaviours, from susceptibility to prompt injection to the inadvertent generation of insecure code. As these models become increasingly embedded in critical infrastructure, their vulnerabilities demand rigorous academic scrutiny.Mitigating LLM-related threats requires a paradigm shift in how AI security is conceptualised. We argue for a novel, systems-oriented approach that integrates LLM security into the broader cybersecurity framework. This work contributes to the growing discourse on AI safety by offering actionable insights and proposing a research agenda aimed at developing resilient, context-aware mitigation strategies.ABOUT THE AUTHORVijay Chakravarthy is a well-regarded Cyber security professional with expertise in delivering diverse product portfolios and driving innovation. Skilled in AI security, cloud security and Operational technology security domains, he has been proficient in solutioning and using data-driven insights as part of addressing security challenges. He is also an active member of Fujitsu's global Cybersecurity research and development (R&D) group where global innovations are born from. -----For more information about the eResearch NZ / eRangahau Aotearoa conference, visit: https://eresearchnz.co.nz/