The development of cyber-policy and infrastructure is ongoing and will be for likely as long as we are all alive, as I don’t see the rapid advancement of technology slowing down any time soon. With this advancement inevitably comes greater risks and threats to cybersecurity as a whole. The people attempting to combat these threats would certainly like to use predictive knowledge to safeguard against these threats, but realistically predictive knowledge by itself is unable to get the job done. Cyber threats evolve rapidly, and in ways that we often are unable to predict. This puts cybersecurity teams everywhere in a terrible situation, how are you supposed to plan for something that nobody has ever seen before? Unfortunately there is no concrete correct answer, so we must do the best we can. The use of AI is something that I am still not as familiar with as I should be , but in a world where AI is competently programming and only getting better, I would imagine that it would be able to cover far more bases than any human could, especially if AI ends up to be the one creating the malware. Outside of this, the best we can do is to put as many heads together as possible, If the scope of what is possible in a cyber attack keeps growing, a small team stands no shot in staying as safe as possible. This means collaboration is important, but collaboration can potentially end up leaving you even more vulnerable if you collaborate with the wrong person. This is probably a risk that must be taken though, and the field of cybersecurity as a whole will always be full of similar risks. All of that being said, while predictive knowledge may be a “short arm” approach, I do think that it still has its merits and should not be discounted.