Category
Security
-
AI Data Centre Security: The Shared GPU Risk Operators Face
A new class of GPU attack goes public on 15 November. For AI data centre operators, the bigger issue is who owns security when customers share hardware. This piece explains GPUThor in plain terms, why multi-tenant GPU and neocloud environments carry the most exposure, and three questions leadership teams should be asking about tenant isolation…
-
The AI Data Centre Has a New Attack Surface : The Entire Infrastructure Stack.
Opinion | Security The industry is buying AI security one tool at a time – Attackers see one building and until operators do the same, the gaps will be where the next breach happens. Last week Fortinet and Equinix announced a new way to govern AI traffic; It can inspect prompts and responses, apply policies…
-
NVIDIA Pushes AI Data Center Security Into the Infrastructure Stack
NVIDIA’s new agent safety platform points to a future where AI security controls sit beneath the application layer, closer to compute and networking infrastructure.
-
VAST Data and CrowdStrike Alliance Redefines Data Center Security
As enterprise artificial intelligence workloads mature, protecting the model is no longer enough. The landmark integration between VAST Data and CrowdStrike shifts the defensive posture from physical and endpoint perimeters straight into the data repositories feeding high-density training clusters
-
Frontier AI Model Learned to Hack Like an Expert – alone.
Frontier AI models are becoming capable of sophisticated autonomous cyberattacks, raising a new operational risk for data centres using agentic AI to manage power, security and physical infrastructure.