We use active AI scans to detect device vulnerabilities before hackers do
Lock ALL of your open backdoor devices
We built Suavei to address 3 fundamental problematic issues in other vulnerability scanning products:
1. They don’t identify the devices (especially IoT) accurately and reliably
2. They cannot handle slow and unpredictable network environments (e.g. wireless)
3. They cannot be trusted to scan sensitive devices (e.g. medical and other IoT)
Current scanning products (Qualys, Tenable, Rapid7 and others) are clearly not sufficient in great part because they use old static signature and passive AI techniques that are outdated and ineffective.
Solution
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 AI 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.
Perfect for IoT Device Security
According to informatech (May 2021), 90% of Enterprises state that IoT was core to their digital transformation plans. No wonder the quantity of these devices is growing rapidly, along with the number of weaponized exploits. In addition, these devices are normally connect to the network via WiFi or cellular connections that are commonly slow, weak and unreliable – making them especially challenging to ID accurately and safely. IoT devices are ‘un-agentable’ and traditional active scans would knock them over anyway. Passive scans are ineffective because they can only see devices where the network traffic is redirected to them. Suavei’s unique AI-Enable ACTIVE network discovery technology solves all these problems making it perfect for IoT devices.
Suavei is Unique!
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.
MSSP Ready
Customization & Integration
Any good cybersecurity strategy involves layering multiple products – and Suavei builds its products for layering.
In addition to our core offering, we can provide our integration partners, including SOAR platforms, with additional services and functionality like premium vulnerability signatures and curated thread feeds
Use our flexible out-of-the-box reporting and UI, or we encouge customization via our rich JSON REST API
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
