CyberNeuro-RT
Most network defense works from a list of threats someone has already seen. CyberNeuro-RT learns what ordinary traffic looks like on your network, then tells you when something does not fit, including things nobody has catalogued yet.
Interface preview. Layout is representative of the product console; values shown are illustrative, not measured performance.
What it actually does.
Four things a security team gets out of it, in the order they matter.
It notices what it has not been told to look for
It runs where the traffic is
It keeps the alert queue short enough to work
It sits alongside what you already run
The record behind it.
Developed with Lockheed Martin's MFC Division and Pennsylvania State University, under partial funding from the U.S. Department of Energy.
| Partners | Lockheed Martin Co. MFC Division · Pennsylvania State University |
|---|---|
| Funding | Partial funding from the U.S. Department of Energy |
| Deployment | Cloud core, datacentre, or low-power hardware at the edge |
| Position | Second layer, alongside existing perimeter tooling |
Tell us the program.
Whether you are a program office with a problem, a prime looking for a subcontractor, or an enterprise evaluating CyberNeuro-RT, the fastest route is to describe what you are trying to solve.