Introduction It is clear by now that the advent of OpenAI’s Chat GPT has elevated the conversation surrounding the integration of AI. Already, diverse tests of the system, from the student needing help with secondary school homework to large scale industrial problems, to developers using AI assistants as a pair programmer, have shown that AI assistance shows great promise as well as cause for concern. Its popularity owes part of its success to the democratisation of the system so that we all become beta testers. From the point of view of cybersecurity, this has raised serious concerns regarding plagiarism, impersonation, database poisoning and, more worryingly, an increase in the capacity of malicious users to accelerate their attacks dramatically. Conversely, while current security software leverages rule-based detection in order to detect sophisticated attacks, AI can analyse vast amounts of data from multiple sources, including network traffic, logs, and user behaviour, to....