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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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.
Perplexity's Comet Blends Familiarity With Agentic AI to Reshape the WebPerplexity, the fast-rising AI search engine startup backed by the likes of Nvidia and Jeff Bezos, is riding on a cosmic high with the launch of Comet - a full-featured AI-native web browser that claims to "browse at the speed of thought."
Even in well-secured environments, attackers are getting in—not with flashy exploits, but by quietly taking advantage of weak settings, outdated encryption, and trusted tools left unprotected