Description:

Preventing unknown threats with inline machine learning

Millions of new cyberthreats emerge every year, with organizations constantly racing to prevent them. Leveraging cloud-scale resources, automation, and other techniques, today’s adversaries enjoy some inherent advantages: the ability to spread their attacks more quickly than ever, and the ability to deploy polymorphic malware and malicious content that evades detection by constantly changing its identifiable features.