Leveraging Generative AI for Proactive Cybersecurity Threat Detection in Cloud Environments

This paper proposes a proactive approach to cloud cybersecurity threat detection that generative AI can complement. To this end, the proposed framework fuses generative models, including GANs and VAEs, with cloud-native security services to model attacks and detect vulnerabilities in advance. The study explores how generative AI can prevent, model and mitigate cyber threats before being used to exploit vulnerabilities to counter conventional security measures. The study focuses on a timely and contextually proactive approach rather than reactive, addresses the issue of resources and covers an essential aspect of concerns with the proposed solution for the future prospect of cybersecurity concerns