Hallmarked by the application of machine learning to network metadata, Network Detection and Response leverages advanced intelligence and integrations with response-capable solutions such as NAC and SIEM to provide incredible visibility into an organization’s network traffic. This is a stark contrast to the traditional approach of leveraging thresholds and pre-defined traffic patterns to automate network alerts. While this approach works just fine for detecting certain threats—think DDoS or SYN scans as an example—there is just so much more we can do confidently with machine learning. Let’s explore some of the more popular Network Detection and Response use cases.
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