In the world of security perimeter defenses, more is not necessarily better. This is particularly true with threat detection, where software discovering 90 million possible threats a week is really no more helpful than one that finds 9 million threats. The premise was that unsupervised ML would quickly learn the patterns and, thereafter, instantly recognize a true threat and distinguish it from the ever-present network noise of a large company network. Still, can ML be more effective than manual human alternatives? Often, the answer is “yes,” says AT&T Security Consulting.”]
Source: https://www.csoonline.com/article/3274650/is-machine-learning-part-of-your-security-strategy.html