Insights on Adversarial Infrastructure Risk
Pre-attack intelligence, autonomous defense, and real-world outcomes.
Featured & Latest Insights
VisionHeight's Pulse Telemetry captured telecom-targeting reconnaissance, uncovered undisclosed infrastructure, and flagged attacker IPs months before Google's public disclosure of UNC2814.
VisionHeight's proprietary Pulse Telemetry expanded 9 published IOCs from a destructive attack on Polish energy infrastructure to 38 infrastructure nodes — 24 of which remain operational today.
n our first post, we made the case that agentic SOC platforms are missing the intelligence foundation they need. This post introduces what we've been building to solve it.
Everyone is building SOC AI agents. Almost nobody is asking what those agents actually know about the external threats they're supposed to find. We built the intelligence layer to fix that.
The AI security agent promise: autonomous investigation, instant triage, machine-speed response. The reality? AI agents hallucinate, generate false positives, and make low-confidence decisions because they lack the one thing human analysts have—infrastructure context.
When autopilot was introduced in commercial aviation, it was a breakthrough. Pilots could hand off routine flight management to machines, reducing fatigue and human error on long routes. But autopilot only works because of radar.
The problem every security team knows too well: You start with one suspicious IP. Hours later, you're still pivoting across five tools, reconstructing what turns out to be a coordinated campaign. By the time you connect the dots, the adversary has rotated to fresh infrastructure.
