In our modern world, we find ourselves ever emerging the physical world with the digital. As societies become more and digitalized, there needs to be a sense of security and trust within the scope of the digital whelm. Security of novel technology seems to be an afterthought, as we have seen in the past, as newer technology becomes ever more prevalent. The complex and dynamic components of these systems demand a multidisciplinary approach to be taken when developing a cyber-policy and infrastructure system. Addressing these complex issues is critical for the foundation of securing these engineering systems that power modern life itself. To be effective in finding the correct solution, and establishing an understanding of the complex problems have to be fully comprehended. In developing a cyber-policy, security must be engineered into the life cycle of the system. There needs to be an inventory of all stakeholder’s assets to maximize the effectiveness of protection. A set of engineering requirements must be set to ensure the trustworthiness of the infrastructure system and its underlying components. Implementing security into any engineering system can be applied at any stage of the life cycle of a system. The tremendous need for immediate implementation of cybersecurity in these systems can be due to poor engineering in the past. This is where predictive knowledge plays a key role in implementing necessary needs in the foreseeable future to avoid mistakes from the past.
The approach that should be taken in regards to the development of cyber-policy within the use of predictive knowledge should be heavily weighted. As it is an amazing tool with many useful forecasts, it is not, however, a crystal ball. Predictive knowledge has been a progressive tool in shaping the way developers of cyber-policy have been tackling the difficult comprehensive problems that these systems face. Predictive knowledge takes raw data and with numerous techniques, simplifies the analytics for the developer to understand to make better decisions. As the tool has great advances, it also has its limitations as it should aid in decision-making, but should not be used as an absolute.