Machine Learning, the Unsung Hero in the Latest ‘Threats Report’

The story about ransomware in hospitals in our newly published McAfee Labs Threats Report: September 2016 will probably garner most of the media’s attention, but I think the most interesting story in the report is about machine learning. Here’s why. Intel Security has used machine learning in our classification models since the mid-2000s. Initially, we employed it in our spam and sender-reputation mechanisms. Now it is used in many of our descriptive and diagnostic mechanisms, including file classification, mobile app classification, URL classification, URL content labeling, cloud security anomaly detection, network anomaly detection, threat intelligence feed validation, traffic pattern anomaly detection, and more. Machine learning is increasingly being leveraged in the security industry to automate advanced classification, scoping, and prioritization of security events—what we call Analytics 3.0—making it possible to…

Link to Full Article: Machine Learning, the Unsung Hero in the Latest ‘Threats Report’

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