In this paper, we will examine how anti-malware solutions have
evolved over the years to respond to the changing threat
landscape, and why even with significant investments in tools,
we are too reactive, and attacks are still succeeding too often.
We will address the adoption of AI, in particular machine
learning versus deep learning, and discuss the mindset shift
needed going forward to break the cycle of reactionary
cybersecurity.