Cybersecurity Considerations When Using Generative AI in Telemetry Post Processing Analysis

Abstract

Recent developments in the maturity of generative Artificial Intelligence (AI) (AI systems that can generate content) over the past few years has been impressive. While, generative AI technologies have their limitations, they will positively impact the data analysis discipline. However, most generative AI solutions lack basic cybersecurity features that would allow them to be well integrated into an organization’s existing cybersecurity framework. After briefly reviewing neural networks, the cybersecurity challenges with generative AI and the possible mitigation strategies for those risks; a deployment scenario will be discussed for leveraging generative AI technologies in telemetry post-processing environments.