Being that the cyberspace is still up and coming predictive knowledge would not be the best option due to the fact of more discoveries and new findings within this discipline. Predictive knowledge is good for disciplines that are not going to change as much such as the medical field being since there are new discoveries. Still, they stem from things that are already found within the discipline already. When we predict something there’s not a gauge we can go off of before discovering the findings, so this allows more room for errors when trying to create new policies and infrastructure. For this discipline, you cannot have many errors within the policy or infrastructure due to the fact that you can be risking the safety and protection of other people and their data. With these types of things, you want to take your time to ensure that the changes that are happening are being kept up with. We can look at this in the way of when a phone updates, a phone updates roughly every 90-120 days. Within the past month, apple has released around 2-3 updates due to the new software updates and to fix all bugs and glitches within the system. It is important to keep up with updates (which a cyber policy should inform you of) to ensure that all your data and your software is protected. When policies and infrastructures are overpredicted it may be a more difficult process due to the event not happening, when one under-predicts the outcome of the event could result in a negative impact on the assets that are trying to be protected. To sum it up the infrastructure and policies are something that should be well thought out and planned based on the trends of current breaches and events of the company.
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