Nvidia provides GPUs, drivers, and software used in AI and computing; flaws in these components can expose systems, data, and workloads.
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Background for this topic.
Nvidia develops graphics processing units (GPUs), accelerator cards, system-on-chip platforms, and the drivers and software stacks that control them. Its hardware is used in workstations, cloud systems, high-performance computing, and AI infrastructure; security news under this tag therefore commonly concerns device firmware, kernel drivers, GPU runtimes, management tools, and software libraries rather than the silicon alone.
Security advisories matter because flaws in drivers or privileged GPU components can allow local code to crash systems, gain elevated access, or cross intended isolation boundaries, depending on the affected platform. Shared GPU servers also require careful tenant and data isolation: residual data in device memory or insecure accelerator-management interfaces can expose workloads. Operators should track Nvidia security bulletins, inventory driver and firmware versions, obtain updates through trusted channels, restrict management endpoints, and test upgrades against dependent CUDA or AI workloads. Vulnerability assessment should include container and orchestration integrations, since a GPU-enabled workload may receive additional host access.
According to user reports, the Windows 11 22H2 feature update released earlier this week is causing gaming performance issues on systems with NVIDIA GPUs. [...]
Uber on Monday disclosed more details related to the security incident that happened last week, pinning the attack on a threat actor it believes is affiliated to the notorious LAPSUS$ hacking group
Uber believes the hacker behind last week's breach is affiliated with the Lapsus$ extortion group, known for breaching other high-profile tech companies such as Microsoft, Cisco, Nvidia, Samsung, and Okta. [...]