Security News > 2021 > September > Machine learning is a great tool for cybersecurity, but be cautious, expert says
Christopher Ford: Supervised and unsupervised learning are techniques that help to facilitate different use cases within the sphere of machine learning.
In the machine learning world, labeled data is data that you, as a human, go through and describe to your machine learning system.
I'd be happy to talk through some of the applications for unsupervised learning and supervised learning in cybersecurity.
Where we at Threat Stack see the market is going, is toward combining those sorts of techniques, unsupervised learning and supervised learning.
Machine learning has a lot of buzz, and it's well-earned, but machine learning often promises magic.
If you want to do things like predictions and classifications at scale, you've got to make sure that you've got lots of data, that it's well prepped for machine learning and that it's labeled properly.