Network Observability is the ability to collect, analyze, and activate network data. With network observability, you can easily answer questions about your network.
Deep Network Observability takes it a step further by extracting data from other sources interacting with your network to provide actionable insight from your entire IT environment.
To use a metaphor, Deep Network Observability is akin to deep space observability. With the aid of specialized instruments, astronomers can see a wide lens of space that allows them to zoom in to investigate and respond to any issues they might find.
But seeing is only half of the equation. Visibility is not observability. When you can see the data and, at a glance, understand the context and importance of that data, then you have observability. It’s observability that tells an astronomer that a sun will burn out in a thousand years, or that a moon has changed its orbit and will eventually collide with a planet.
For IT professionals, Deep Network Observability tells you when a laptop’s network traffic is behaving like malware. It tells you when the lag on this server is going to impact network availability if left unchecked.
Knowing that info prior to the actual event allows you to be more proactive with your incident response, more thorough in your investigations, and more effective at protecting and enabling your enterprise.
Complete visibility means being able to see everything from edge to core to cloud. Easier said than done, for most. As the number of devices on a network grows and network topologies become more complex, IT teams are challenged with seeing everything in their IT environment. Deep Network Observability, however, gives you visibility and insight into every network transaction, device and user behavior, application and service activity, and cloud workload data.
Once you can see everything, you need to be able to quickly understand the context of your data. Is the asteroid a threat or just a bright spot in the sky?
With advanced AI/ML, you don’t need to wait for issues to arise. An ML engine establishes a dynamic baseline for network behavior and allows you to spot usual or unexpected behavior as it occurs. Additionally, with STIX/TAXII threat feeds, you can always stay a step ahead of the next threat.
What happens when you can see and understand your IT environment? You can predict performance issues and detect threats early and across many stages.
When a performance issue or cyberthreat arises, you want to see it early. Understanding a change in your environment allows you to determine time to impact and the severity of the issue as time progresses. Event correlation and MITRE ATT&CK® mapping allow you to prioritize your efforts.
Deep Network Observability gives you real-time anomaly detection so you can weed out threats and performance issues before they have a chance to cause damage or disruption. To learn more about Deep Network Observability schedule a quick demo with our team.