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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.

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The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of downloads allow remote attackers to hide malicious code in metadata. The code then executes automatically when a file containing the poisoned metadata is loaded.…

Prosecutors say front companies, falsified paperwork, and overseas drop points used to dodge US export rules Four people have been charged in the US with plotting to funnel restricted Nvidia AI chips into China, allegedly relying on shell firms, fake invoices, and covert routing to slip cutting-edge GPUs past American export controls.…

Wiz Research details flaws in Python backend that expose AI models and enable remote code execution Security researchers have lifted the lid on a chain of high-severity vulnerabilities that could lead to remote code execution (RCE) on Nvidia's Triton Inference Server.…

PLUS: Bluetooth mess leaves cars exposed; Bitcoin ATMs attacked; Deepfakers imitate US secretary of state Marco Rubio; and more Infosec In Brief Nvidia last week advised customers to ensure they employ mitigations against Rowhammer attacks, after researchers found one of its workstation-grade GPUs is susceptible to the exploit.…

Flaws enable privilege escalation and remote code execution Nvidia's AI-powered ChatRTX app launched just six week ago but already has received patches for two security vulnerabilities that enabled attack vectors, including privilege escalation and remote code execution.…

Scientists reveal automated adversarial prompt generation too powered Nvidia visualization accelerator Computer scientists from the University of Maryland have developed an efficient way to generate adversarial attack phrases that elicit harmful responses from large language models (LLMs).…

Arion Kurtaj will remain hospitalized until a mental health tribunal says he can leave Two British teens who were members of the Lapsus$ gang have been sentenced for their roles in a cyber-crime spree that included compromising Uber, Nvidia, and fintech firm Revolut, and also blackmailing Grand Theft Auto maker Rockstar Games.…

Reverse engineering yields sticky microarchitectural vulnerabilities Nvidia's ultra-dense GPU-driven AI training and inference systems are prone to covert and side channel attacks, according to research just published from a team led by Pacific Northwest National Laboratory (PNNL). This might be less concerning for those with on-prem DGX systems, but for cloud vendors selling time on the AI training boxes, the vulnerabilities are worth noting.…

Evolving threat environment means preventative AI – and SmartNICs – are needed to improve protection GTC Check Point Software has put Nvidia GPUs and artificial intelligence techniques to work across its broad portfolio of security tools in order to address and adapt better to an increasingly sophisticated and rapidly changing threat environment.…

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