A Methodology for Risk Management of Generative AI based Systems

This paper addresses cybersecurity challenges in integrating Generative Artificial Intelligence (GenAI) into applications. It proposes a risk analysis approach that focuses on identifying threats and vulnerabilities exploited by malicious actors, which is validated through a case study on prompt injection attacks. The results demonstrated the efficacy of our approach in identifying and quantifying vulnerabilities in Large Language Models (LLMs).