Treffer: Neutralizing of Malware Sustainably using the evolution of Python’s Artificial Intelligence Functionality

The recent uptake of Artificial Intelligence (AI) systems, Generative AI and Large Language Models, as showcased in ChatGPT, gives an indication that AI is, among other things, shaping business processes and enabling bad actors from a Cyber Security point of view. Cyber Security leaders along with Chief Information Officers need to counteract AI driven Cyber Security threats (Malware delivery, phishing etc.) with their own AI driven solutions. This paper seeks to address barriers to AI Cyber Security entry while examining key business considerations which would lead to the successful implementation of an AI driven Cyber Security solution. To that end Tensor Flow and Pytorch are assessed along with fundamental infrastructure decisions that aide in prospective utilisation. Both Tensor Flow and PyTorch are examined. The fundamental educational and experience requirements that prospective staff should possess in both the AI and Cyber Security industry is addressed. This paper asks if the evolution of Pythons AI Functionality lends itself to a long term sustainable development. This with a view to realising an AI driven Cyber Security Anti Malware projects success over time.