Machine learning in security is not a recent fashion. The timeline below places the real, independently verifiable milestones this course cites on one line, so you can see the field's actual pace of adoption rather than a marketing narrative of it.
ML concept: The Arms Race Is the Point, Not a Side Effect
Every defensive milestone on this timeline was eventually followed by an offensive one, and every offensive milestone pushed a defensive response. This is not a flaw in machine learning for security; it is the same dynamic security has always had, now playing out one level higher, between models instead of only between humans. Unit 6 makes this dynamic the explicit subject of an entire unit.