THREAT BRIEFING
Why AI data centers have less room for error
The question is not just whether an attack can be blocked. It is whether the building will still work afterward.
When a controller behaves strangely, blocking it may look like the quickest answer. In an AI hall, that controller may also carry the temperature readings, alarms or access needed to keep the room running. The team needs to know what will stop before it cuts a connection.
Cooling is part of the computing service.
NVIDIA’s DGX GB200 design uses liquid cooling for the most power-intensive components and air cooling for others. That makes the building’s cooling equipment part of the chain supporting the workload. It does not mean every AI hall has the same design. Source: NVIDIA, Key Components of the DGX SuperPOD, accessed October 10, 2026.
More equipment means more dependencies to check.
A cooling distribution unit connects the rack’s cooling loop to the building’s cooling system. The team needs to understand the pumps, measurements and controls along that path, including which connections carry readings and alarms. Source: NVIDIA, Maximizing AI Factory Performance per Watt, August 24, 2026.
There is no universal countdown.
The time available after cooling stops depends on the workload, thermal design and backup capacity. “Minutes, not hours” is not a safe promise for every facility. Establish the limits of your own hall with facilities engineers and equipment vendors.
Ask what the response could interrupt.
Before blocking a path, identify what it carries, who approves the change and how the team will check the affected service. A closed attack path is only one result. Temperature readings, alarms and approved access must still work.
What Findavi’s scope means here.
A Findavi Uptime Blind Spot Assessment starts by listening within an agreed scope. It does not change controls. A later response requires approved actions and confirmed equipment support. Control logic and safety remain with the facilities team.
NetOps IQ does not present a data-center pilot in this briefing. The book’s data-center scenario is illustrative; the observed tests took place in other industries. GPU hardware and the fast compute network are outside the stated scope.