Machine learning and artificial intelligence have been of interest for a couple of years due to the great potential in automating tasks and even in creating a fully sentient artificial lifeform. Although we're years, or decades, away from the latter, current machine learning algorithms have been tasked with everything from winning professional Go championships to assisting oncologists with diagnostics. With the increased number of internet-connected devices, estimated at 6.4 billion in 2016, cybercrime will not only intensify and become more viral, but also reach new levels of complexity. Traditional security technologies and mechanisms will prove unable to adapt to the rapidly changing threat landscape. These algorithms can identify patterns in large amounts of data faster than humans, and they can also constantly learn.