4 Machine Learning Challenges for Threat Detection - InformationWeek

The growth of machine learning and its ability to provide deep insights using big data continues to be a hot topic. Many C-level executives are developing deliberate ML initiatives to see how their companies can benefit, and cybersecurity is no exception. Most information security vendors have adopted some form of ML, however it's clear that it isn't the silver bullet some have made it out to be. While ML solutions for cybersecurity can and will provide a significant return on investment, they do face some challenges today. Organizations should be aware of a few potential setbacks and set realistic goals to realize ML's full potential.