When PR and reality collide: The truth about machine learning in cybersecurity

Machine learning (ML) is routinely cited by post-truth vendors as their biggest selling point, their main advantage. But ML – if it's done properly – comes with problems and limitations. ESET has spent years perfecting automated detections, our name for ML in the cybersecurity context. Here are some of the biggest challenges we have observed and overcome in the course of implementing this technology in our business and home solutions. First, to use machine learning you need a lot of inputs, every one of which must be correctly labeled.