Advances in Machine Learning (ML) and its cousin, Artificial Intelligence (AI), are rapidly reshaping the cybersecurity threat landscape, for better and for worse. While these technologies have long held promise to automate and accelerate the processing of massive loads of threat data, lightening the load on threat analysts so that they can focus their time and efforts on the most credible threats, the opportunities in automation are not lost on attackers. ML & AI are also being used by threat actors to automate, accelerate and rapidly scale their cyber attacks, ushering in a new "technology arms race" for cyber defense. At the Global Cyber Innovation Summit in 2019, a speaker from the US National Security Agency warned of the "offensive" use of AI and ability to compress a cyber attack that took 9 months to 9 hours, or less. Given that, on average, a cyber attack takes 270 days to detect, there is not good news here. New means of detecting and intercepting attacks are going to be essential going forward...