Cybersecurity firms often tout the use of data science, machine learning and artificial intelligence in their products. But there are consequential distinctions when you apply these techniques to specific cybersecurity use cases.
Security companies regularly extol the use of data science, machine learning and artificial intelligence in their products. There are important conceptual differences when applying these approaches to different cybersecurity use cases. To start with, I want to clarify the meaning behind these terms. Data science involves using fancy math to extract knowledge from data, either via machine learning or using more straightforward data analytics techniques.
Author: Oliver Tavakoli