Network Vulnerability Detection

We know it is exponentially harder to detect, visualize, trace, understand, and solve problems that remain hidden, covert or unknown. These events create complications, breaches and liabilities in the network infrastructure to a factor of (X). The X-factor is further impacted by unknown “black holes”. Much like real black holes, objects reside in our network that consume vast amounts of data and convey the consumed data to unknown destinations.

Existing networks remain masked behind integers and blinking lights until the unknown “black hole” causes sufficient events resulting in movement from an “unknown” to “known” point; believing a network is impenetrable is a false sense of security. NVD diminishes the X-Factor and in real-time graphically depicts the network data particles flowing through the electronic infrastructure. NVD is deployed in three distinct approaches:


The observatory approach will provide proprietary, patented software and hardware components, network components are configured and limited based on the existing network, and limited hardware changes will be made.


The predictive approach will monitor and map data flow, monitor and map network behavioral characteristics, suggest network modifications, define Virtual Intelligent Routines (VIR) and other rules to optimize existing network infrastructure, and deploy modifications.


The countermeasure approach will provide the same aspects of the predictive and will define (VIR) and deploy countermeasure, network response and notifications.