They don’t identify the devices accurately and reliably
They can’t handle slow network environments
They cannot be trusted to scan sensitive (e.g. medical) devices
You wouldn’t trust a self-driving car that had no cameras and relied on databases to figure out even the most basic things like the speed limit. Reliable self-driving cars are being made possible by the use of Deep Learning techniques like categorization and image recognition. It is no surprise that antiquated active scanners that rely on signature databases to identify devices are unreliable and ineffective.
Suavei is different.
Suavei uses the same Deep Learning techniques that self-driving cars use, but to identify and navigate network-connected devices.
The Suavei platform actively scans all devices attached to a network, correctly identifies them, self-calibrates and continuously improves using AI.
Besides using AI for device identification, we use it to self-optimize bandwidth usage making it the only option for automated assessment of devices on low bandwidth and/or high latency networks.
There are already 7 Billion Internet-connected devices in the world, and, according to Ericsson, by 2022 there will be 17.6 Billion – on average, two for every human.
– Afonso Infante CTO, Suavei