Machine Learning for Cybercriminals

Machine learning (ML) is taking cybersecurity by storm nowadays as well as other tech fields. In the past year, there has been ample information on the use of machine learning in both defense and attacks. While the defense was covered in most articles (I recommend reading "The Truth about Machine Learning in Cybersecurity"), Machine Learning for Cybercriminals seems to be overshadowed and not unanimous. The recent findings show how cybercriminals can deploy machine learning to make attacks better, faster, and much cheaper to perform. The objective of this article is systemizing information on possible or real-life methods of machine learning deployment in malicious cyberspace. It is intended to help members of the Information Security teams to prepare for imminent threats.