Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Dr. Carter finishes a long shift at the hospital, exports a patient X-ray as a regular image file, and drags it into an AI assistant to double-check a diagnosis. The image included the patient’s name and ID. Across town, Jason, a travel agent, scans a stack of passports and uploads the images to an AI tool to automatically fill bookings. In a support center, Sarah snaps a quick photo of a credit card and sends it to an AI service to avoid retyping the number.

For many organizations, the network has quietly become one of the biggest barriers to growth. It is the almost invisible nervous system of the enterprise, yet when it fails or becomes overly complex, it is the only thing anyone talks about. As projects expand, offices multiply, and cloud adoption accelerates; IT teams are finding the network is an increasingly difficult piece of the puzzle, and hard to control.

Imagine a new city that promises cheap housing and ultra-modern infrastructure. People move in, only to discover that the roads are constantly jammed, power cuts happen every evening, water pressure drops without warning, and there are no cameras or sensors to detect where things are breaking. There is no central control room to test changes safely before the next “improvement” hits the streets. It does not matter how attractive the city looked on paper.

Security teams frequently investigate whether traffic is allowed, denied, or translated along a path, but traditional visualization methods create unnecessary complexity. A standard Path Search view includes every L2 and L3 hop—switches, routers, and intermediary devices that participate in forwarding but apply no security policy. While this depth is helpful for network troubleshooting, it overwhelms analysts focused specifically on enforcement points.