Abstract
<jats:p>Cyber threat intelligence (CTI) is of great importance in the proactive nature of the cyber defense process, allowing organizations to make actionable plans for evolving threats. Historically, acquiring cyber threat intelligence has been beset by the lack of comprehensiveness, immediacy, and the ability to synthesize disparate data from undefined sources of threat intelligence. Generative AI affords an opportunity to rise above these deficiencies from the perspective of the depth, speed, and readability of threat intelligence. This chapter assesses how generative AI may be of assistance in driving forward the study of cyber threat intelligence from the millennial perspective, but from an initial perspective – how generative models do indeed have the capability of producing threat hints and warnings, modelling essential threat/attack scenarios and augmenting sources of data for training detection systems.</jats:p>