NETWORK TRAFFIC ANALYSIS
Network Traffic Analysis (NTA) is an emerging category of security product that uses network communications as the foundational data source for detecting and investigating security threats and anomalous or malicious behaviors within that network.
The subtle art of detecting and preventing rogue access
The ability to characterize IP traffic and understand how and where it flows is critical for assuring network availability, performance, and security. Network traffic analysis provides the visibility on your network by utilizing tools to perform monitoring, troubleshooting and in-depth inspection, and interpretation with the synthesis of traffic flow data. It helps network operators to determine where to apply Quality of Service (QoS) policies as well as how to optimize resource usage, and it plays a vital role in network security to detect distributed denial-of-service (DDoS) attacks and other undesirable network events and activity.
Attacks on IoT devices tripled in 2019
As a network administrator responsible for the care and feeding of a network, it’s vitally important you have an extremely detailed understanding of your network topology.
Without this information, even basic troubleshooting can be unnecessarily difficult. You’ll find, if you haven’t already, that troubleshooting is much easier if you have detailed and up-to-date network documentation.
Common rogue connections on your network
Knowing how to analyze network traffic provides you with “who, what and when information” about activity on your network.
While other network security tools such as firewalls and intrusion detection system (IDS)/intrusion prevention system (IPS) products focus on monitoring vertical traffic that crosses the perimeter of a network environment, network traffic analysis solutions are focused on all communications – whether those are traditional TCP/IP style packets, “virtual network traffic” crossing a virtual switch (or “vSwitch”), traffic from and within cloud workloads, and API calls to SaaS applications or serverless computing instances.
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