How can we trust AI in Cybersecurity?

With the cybersecurity market exceeding 50USD billion, are organizations doing enough to stops the rapid increase in attacks? The trends and the success rates of the attacks suggest otherwise. Machine learning introduces itself as a good candidate to help build anomaly-based detection systems that can support the current cybersecurity infrastructure. However, there is noticeable resistance in the cybersecurity industry to accept machine-learning based solutions as part of the fight against malicious actors. In this lecture, we will discuss the roots of this problem, and practical solution steps to build the synergy between machine-learning scientists and cybersecurity practitioners.