
Always know if your network leaks!
Network segmentation is a core network protection strategy. Critical infrastructure and ICS/OT security policies require it. But do you know it works?
“Companies should invest in monitoring the isolation of their production networks. 81% of the participant organisations’ networks that were intended to be isolated leaked in unexpected ways.”
– National Cyber Security Centre Finland (NCSC-FI)
Beacons call Home
Put Beacons in your isolated networks, they try to connect to Beacon Home using multiple different escape techniques. If they succeed, Beacon Home will alert you.
This is how you always know if your network leaks.
Network isolation
You rely on it. You may call it isolation, segregation, segmentation, partition or sandboxing. But do you know it works? Privacy, critical infrastructure protection, payment safety or your sanity may require it.
Cover all the layers!
- App Aware Networking
- Routing / FW / Proxies
- MPLS / VPN / VPC
- VLAN
- Physical layer
Focus
Rather than finding 300 potential issues in one location, test one important security control in 300 locations.
Beacons try to connect to their Home over IPv4, IPv6, TCP, UDP, ICMP, DNS, Ethernet Broadcast and IP Payload.
Deploy every way
Beacons can be deployed in bare metal, virtual machines, containers, and even on small gadgets. And it is compatible with your deployment solution. We got you covered.


Application
Install the Beacon Application on Linux or Windows workstations, laptops, edge computing devices, or cloud deployments you need to keep safe.
Runs on Linux, Docker and Windows.

Virtual
Launch the Virtual Machine Beacons inside VLANs and data centers and see if they can call their Home.
Available as an OVA package and ISO image, runs on VMware, VirtualBox, Hyper-V and other platforms.

Device
Use the Beacon Devices to test network isolation without the need for an existing platform.
Simply power them on, connect them to your network and leave them in place. Works on Raspberry Pi*.
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For more info and architecture examples – please see https://sensorfu.com/