[idan_pan]

I think that an important obstacle is that the industry and academy have different goals and therefore different motivations. We (researchers from Palo Alto Networks and Shodan), recently published a paper on machine learning challenges in cyber security, aiming to the academy. https://arxiv.org/abs/1812.07858

Finding problems that will be of interest to the academy wasn't easy. Taking algorithms that will be based on them and turning them into a product will be hard.

We explained why textbook machine learning will fail on these problem, what make it interesting academically. We also provide data for academic use, what enables academic research.

So far response is positive, so I hope that we found a way for academy-industry cooperation.