Lateral Movement Use Case

They Got One Machine. Then They Got All of Them.

Every major breach has the same chapter in the middle: lateral movement. The attacker lands on one endpoint and pivots — host to host, credential to credential, network segment to network segment — until they own enough of your environment to achieve their objective. SolarWinds. NotPetya. Colonial Pipeline. The initial access was one machine. The damage was the entire network.

Your EDR sees each host in isolation. Your SIEM sees events in batches, hours apart. Neither can answer the question that matters in real time: "Is someone moving through my network right now?"

How spotr.io does it?

spotr.io correlates authentication, process execution, and network connections across every host simultaneously, on stream. A service account that's only ever touched two servers suddenly authenticating to forty. PsExec fan-out at machine speed — 15 hosts in 3 minutes. RDP sessions chaining from endpoint to endpoint like dominoes. SMB lateral file copy followed by remote service creation on the target. Each hop is a single event on a single host. The pattern only exists across hosts, across data sources, in real time.

Threshold models catch the velocity — no human admin touches 30 machines in 5 minutes. Anomaly models catch the deviation — that service account has never left its home server. Sequence models catch the technique chain — credential dump on Host A → authentication on Host B → remote execution on Host C → same pattern on Host D. Rate models catch the acceleration — movement that starts slow and speeds up as the attacker automates.

EDR protects machines. spotr.io protects the spaces between them.

The breach doesn't happen on one host. It happens in the movement.