*Detection and Minimization of Malware by Implementing AI in SMEs DOI: http://dx.doi.org/10.5772/intechopen.108229*

human awareness, might still need some catching up to do. Through various methods of engagement within the industry coupled with education and training of the workforce, regularly conducted SME surveys such as the one in this paper, will give better meaning and understanding to the structure of how SMEs are having to cope and keep up with technology evolving in keeping their data safe and secure. Whilst AL and ML are emerging technologies that are maturing in their capabilities to protect intelligent cyber warfare, life in general for SMEs at the moment is trying to keep the balance between running their business running and prioritizing financially between sales, marketing, and now cyber. Support from decision makers and business owners taking on this responsibility will still be a long and windy road, where technology will finally try and meet the demands and affordability of the uses of MLCS within the SME business. Allowing for the costs to become affordable will rely on the supply and demand of the supply chain driving the affordability economically for all SMEs to get on the bandwagon of using intelligent software without breaking the bank when trading online to continuously keep their data safe and secure in line with GDPR within the context of the UK.

The novelty is to apply metaheuristic algorithms for detecting and predicting malware in SMEs and to optimize the problem. Also, more investigation of the likely malware is proposed to optimize security in SMEs.
