Why not make use of new technologies and approaches to not only detect and manage anomalies but also to take action in real time? After all, the network serves as both a source of ground truth and a means of transportation for suspicious or malicious data. This is especially true as traditional log analysis and alerting mechanisms controlled by SOC/NOC teams become overwhelmed by the increased volume and speed of data. To satisfy the needs of digital business and get an advantage in lowering mean time to detect (MTTD) / mean time to respond (MTTR), as you'll see, we recommend achieving this in real-time using analytics and wire-speed network data.Īs the volume and speed of data increase, it becomes more important than ever to have constant visibility, detection, and the capacity to respond to network traffic. Network traffic analysis makes use of network communications and associated protocols to find, track down, and analyze any operational problems as well as cybersecurity concerns. This information might also be kept for historical analysis. This enables you to act quickly in the event of a problem. For real-time updates on what's happening, traffic data is gathered in or close to real-time. Network traffic analysis is a technique for gathering, storing, and examining network traffic. Network Traffic Analysis Implementation.Why is Network Traffic Analysis Important?.Through this study, a baseline of typical behavior can be established, and any outliers can be detected and isolated as potential threats. It combines behavior modeling, machine learning, and rule-based detection.
Network traffic analysis (NTA) is a sophisticated technique for inspecting and dissecting the data packets that make up network traffic to identify any suspicious behavior.
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