Nvidia provides GPUs, drivers, and software used in AI and computing; flaws in these components can expose systems, data, and workloads.
Search across headline titles and summaries.
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.
Weekly headline count for the current query.
Learn how TrendAI and NVIDIA OpenShell help secure autonomous AI agents and build trusted enterprise AI systems with stronger visibility and control.
TrendAI™’s ÆSIR platform combines AI automation with expert oversight to discover zero-day vulnerabilities in AI infrastructure – 21 CVEs across NVIDIA, Tencent, and MLflow since mid-2025.
Launching at NVIDIA GTC 2025 - Transforming AI Security with Trend Vision One™ on NVIDIA BlueField
Learn how Trend's Cybertron has been harnessing the power of NVIDIA Universal LLM NIM Microservices.
Together, we are focused on securing the full AI lifecycle—from development and training to deployment and inference—across cloud, data center, and AI factories.
Trend Research uncovered misconfigurations in NVIDIA Riva deployments, with two vulnerabilities, CVE-2025-23242 and CVE-2025-23243, contributing to their exposure. These security flaws could lead to unauthorized access, resource abuse, and potential misuse or theft of AI-powered inference services, including speech recognition and text-to-speech processing.
A previously disclosed vulnerability in NVIDIA Container Toolkit has an incomplete patch, which, if exploited, could put a wide range of AI infrastructure and sensitive data at risk.
A deep-dive into how AI-driven solutions from Trend Micro leveraging the NVIDIA AI Enterprise software platform are elevating security across critical industries
On Wednesday, NVIDA released updates to fix a critical vulnerability in its NVIDIA Container Toolkit, which, if exploited, could put a wide range of AI infrastructure and underlying data/secrets at risk.
Discover Trend Micro's integration of NVIDIA NIM to deliver an AI-driven cybersecurity solution for next-generation data centers. Engage with experts, explore demos, and learn strategies for securing AI data centers and optimizing cloud performance.