Feed network data (1G/10G/100G)
into your existing network security, monitoring,
and analytic applications...
at wire-speed
The 5G rollout promises to bring unique customer experiences on the backs of increased bandwidth and lower latencies. This will better enable use cases such as autonomous vehicles, AR/VR experiences, digital entertainment experiences and the list goes one. However, is the carrier network or IoT Platform instrumented to better process this deluge of data at the edge for operational and risk management decisions?
Peter Dougherty: CEO
Marshall England: Vice President, Marketing
Elliott Starin: CTO/Co-Founder
MantisNet network intelligence solutions provide high resolution inspection and control of network traffic at-scale for real-time visibility and response. Deployed at the edge or core, our software technology is the proven solution for continuous real-time interactions:
MantisNet solutions complement data-at-rest with data-in-motion to make continuous real-time monitoring, authentication and remediation a reality.
Streaming Network Intelligence
Gain visibility and leverage data-in-motion for event-driven architectures.
See the streaming nature of network packet meta data being structured and made available for use, in real-time.
Enable real-time decisioning for network and cybersecurity needs
Stream deep packet meta data to analytics platforms (Kafka, Splunk, LogRhythm)
Inspect all network layers, Layer 2 – Layer 7 network protocol data
Simplify and gain efficiencies for complex traffic types for any network protocol at the speed and scale of today’s networks (100G and soon 200G-400G)
Mike Fecher: Technical Account Manager
Marshall England: Vice President, Marketing:
With the increase of devices and volume of data transiting mobile networks, getting visibility and managing traffic at the edge will give network and security teams an advantage of handling the data at the start of its journey from the edge to the data center and back.
The white paper discusses:
To accomplish the task of real-time decisioning requires visibility into events as they happen and the capability to enact changes on network data in real time based on the intelligence gained from live network data.
The white paper discusses:
