Dr StrangeBot: Or How I Learned to Stop Worrying and Trust Machine Learning
This post was originally published as part of my role at WhiteHat Security Links have been added for context/comedy/my own entertainment, but no content has been modified Beneath the cynicism, hyperbole, market–making and FUD; the strategic importance of AI in Cybersecurity is only constrained by us ‘meatbags’. Being a data science practitioner in the cybersecurity space has been a double–edged sword for several years. On the one hand, with the proliferation of automated security testing, network IDS advances, the sheer growth in traffic and the threat surface of our increasingly complex, interconnected application development practices, these roiling oceans of flotsam and datum are everything our data hungry little hearts desire. Related innovations in data engineering in the past decade mean that questions that had previously only lived in the craven dreams of executive officers and deranged analysts are now the kind of tasks that we hand off to interns to make sure they have correctly set up their workstations. ...