Network Traffic Analysis (NTA) is an important new cybersecurity strategy that shifts threat hunting from perimeters and endpoints to network flows. NTA uses a combination of machine learning, advanced analytics and rule-based detection to build (or refine) a baseline model of normal network behavior, and to deliver deeply contextualized alerts when abnormal patterns are detected.
It is an approach well-suited to open, continuously evolving network environments, and its effectiveness at identifying hard-to-detect threats – in near-real time – is generating significant industry interest.
This report presents the results of a survey carried out by Cybersecurity Insiders over the summer of 2019 to learn more about NTA awareness, knowledge and usage by professionals working in enterprise cybersecurity and at Security Operations Centers (SOCs) operated by Managed Security Service Providers.
If you would like to download the survey report, please fill out the form below.
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