Machine learning is increasingly being used in cyber security to help companies identify risks and anticipate problems before they become overwhelming crises. Machine learning is a second generation of artificial intelligence software that can operate autonomously, taking some of the manual effort out of assessing security alerts.
Machine learning is a boon to cyber security since security point solutions generate a vast amount of data, alerts and signatures that make it near impossible for a team of security experts to deal with. Machine learning can automate the analysis of those security events and learn as more data is collected and assessed over time. By analyzing big data, the machine learning system can make predictions about network behaviors that suggest real or potential breaches.
So writes Mike Stute of Masergy in the company’s blog. For more visit https://www.masergy.com/blog/machine-learning-brings-insight-cyber-security.
Mike is Chief Scientist at Masergy Communications and is the chief architect of the UES security network behavioral analysis system.
About the firm
Masergy owns and operates a cloud networking platform, delivering fully-managed global hybrid networks, managed security and cloud unified communication solutions to enterprises.
