Is Machine Learning the Silver Bullet for Cyber Attacks?

Historically, security has been a binary rule-based system in which the state is either 0 (this file is benign) or 1 (congratulations, you have a virus). Complex systems define these classes based on a set of rules. But, how can you face this challenge at scale with more than 450,000 new malware types identified per day and more than 1.3 billion malware types already out there? How can Security Operations Center(SOC) teams handle the explosion in new types and the sheer scale of attacks? Furthermore, security experts need to understand why a file or an event is classified as malware or as an anomaly.