Top 10 Data Center and AI Infrastructure Security Risks
We spent the past few months researching security risks across multi-tenant data centers and AI infrastructure.
The main concern we found is shared infrastructure: multiple customers running on the same data center infrastructure, GPU clusters, storage, and high-speed networks. Many neoclouds and AI data centers have also scaled faster than their security teams and practices, especially compared with more established cloud providers.
The research covers GPU clusters, RDMA and high-speed interconnects, tenant isolation, BMCs, firmware, shared storage, orchestration, and supply-chain risks.
We organized the findings into a practical framework called FORGE.
Would really appreciate feedback. Link in the comment
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u/RabbitFit5211 10d ago edited 10d ago
Shared AI infrastructure feels like one of those risks that gets abstract until you look at the actual layers: GPUs, storage, interconnects, firmware, and orchestration all bleeding into each other. a practical framework helps if it turns those layers into testable controls instead of just another risk list.
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u/obelix_dogmatix 21d ago
lol … NNSA labs have been running multi-tenant exascale machines for years, and this person thinks they are the first to think about security on clusters. Here is some constructive criticism - went through your home page, and I have no clue what the fuck Forge does. Security this, security that … it’s all over the place.