Operate with intelligence at the edge of 5G and IoT networks

With the introduction of 5G connectivity and IoT devices comes an exponential increase in the number of access points. The edge of these networks must be optimized to provide visibility and intelligence with these additional access points.  Enabling the ability to filter, slice, identify and process both existing and new traffic types at all layers, as well as to continuously deliver telemetry in real-time will prepare network teams to better react to these potential new attack vectors and performance obstacles.
 
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Gain real-time monitoring and remediation functions; optimization with legacy investments

MantisNet sensors and software technologies can add significant value in the deployment of next generation 5G networks and the overall IoT technology stack by

  • filtering and shaping traffic closer to the edge for appropriate routing through the rest of the network
  • efficient support of the high-speed delivery and low-latency promise for customer applications by best identifying, filtering and managing network traffic at the edge and its interaction with the core network
  • improving the service lifecycle and lowering costs by optimizing traffic flows across new and legacy infrastructure

MantisNet software sensor (transcoder) technologies can be embedded anywhere in the network; at the core, mid-span at the edge, or embedded in the IoT gateway, to serve as the vital sensing component to “feed” continuous, real-time event stream processing and advanced analytics (machine learning and artificial intelligence) capabilities required to keep up with the demands of IoT and next generation networks.

  • L2 - L7 network protocol processing at 100G network speeds
  • Data plane programming and network slice management
  • Interactive remediation for 'instant isolation' or 'shut that off' requirements

Want to learn more? Contact Us with any questions.

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