DETECTING CYBER THREATS USING ARTIFICIAL INTELLIGENCE

Approaches in accordance with various illustrative embodiments provide for the generation of synthetic communications for use in training and fine-tuning threat detection models for various categories of recipients. In at least one embodiment, guidelines can be determined for a category of recipient that can be used to generate multiple types of content using generative artificial intelligence (AI), as may include text, image, and file content. A training communication can be generated using these types of content, such as to generate an email message that corresponds to a potential spear phishing attack. The generated messages can be checked for quality, and any messages that are caught by existing filters can be deleted or regenerated so that only high quality examples of spear phishing are provided as output. These training communications can be used to train a spear phishing detector for a specific category of recipient, in order to accurately flag and prevent access to actual spear phishing communications.