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
- Learns the shape of ordinary traffic on your network rather than matching a list of known attacks
- Surfaces behaviour that does not fit, including patterns that have never been catalogued
- Keeps learning as the network changes, so the baseline does not go stale
It runs where the traffic is
- The same engine deploys in a datacentre, in a cloud core, or on a low-power chip on a remote sensor
- Edge deployments draw a small fraction of the power a conventional setup needs
- No separate product line for edge and core, which means one thing to operate
It keeps the alert queue short enough to work
- Findings are ranked by how likely and how serious they are, not dumped in a list
- Tuned against false alarms, because a queue nobody can finish is a queue that hides the real thing
- Built so an analyst can see why something was flagged, not just that it was
It sits alongside what you already run
- A second layer behind the perimeter tools already in place, not a replacement for them
- Built to reduce the likelihood that an intrusion succeeds, and to surface the ones that do sooner
- No security product can make an intrusion impossible, and we do not claim otherwise
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.