In the frontier of cybersecurity, the objective of cognitive solutions is to build effectively smart, software-driven security that allows organizations to take action faster and reduce risk.
Scalable cognitive solutions that meet these objectives must leverage machine learning to manage the vast amount of data that is produced by security sensors. Security expertise, data science and the math behind machine learning are all essential to developing the complex mechanisms, timing and features of machine learning systems. Thus, taking the right action by creating security tactics enabled by machine learning is dependent on three things: resources, confidence in the science, and actionability. In this paper, Jon Ramsey, Secureworks CTO, provides his vision of Machine Learning and how these three things above can enable "Smart Security" to benefit CIOs and businesses.
