Upwind, a runtime-first cloud security platform, has announced a deepening initiative with NVIDIA to secure next-generation AI infrastructure. The collaboration integrates Upwind's security platform with NVIDIA's AI compute technologies to deliver real-time protection for AI workloads running on GPU-powered environments like the NVIDIA DGX platform and Blackwell architecture.
Upwind deepens collaboration with NVIDIA to secure AI infrastructure and workloads.
The platform integrates NVIDIA NIM microservices to enhance its internal AI-driven security operations.
Upwind now provides dedicated runtime protection for NVIDIA GPU-based infrastructures (DGX, Blackwell).
The collaboration incorporates the NVIDIA Garak framework for adversarial testing of large language models.
The initiative offers enhanced performance, deployment flexibility, and strict data privacy enforcement.
Upwind's approach combines runtime visibility with accelerated AI infrastructure for secure AI at scale.
As AI becomes central to enterprise operations, securing these complex workloads presents a new and urgent challenge. The collaboration aims to protect the integrity and trustworthiness of AI operations against sophisticated cyber threats targeting this new attack surface. Upwind applies its runtime-first security approach to AI environments, offering mitigation techniques for AI-specific threats while ensuring zero performance impact on critical workloads.
The initiative is bidirectional. Upwind integrates NVIDIA NIM microservices to power its own internal security operations, enhancing performance for runtime analytics, vulnerability correlation, and threat modeling. In parallel, Upwind’s platform extends dedicated protection to NVIDIA GPU-based infrastructures. “By combining Upwind’s runtime visibility and protection with NVIDIA’s accelerated AI infrastructure, we’re helping organizations deploy AI at scale—safely, efficiently, and with full confidence,” said Dan Yahav, SVP Platforms at Upwind.
A key component of the collaboration is the integration of NVIDIA Garak, an open-source framework for adversarial and robustness testing of large language models. Garak simulates attacks like prompt injection and jailbreaks. By combining Garak's testing capabilities with Upwind’s runtime and API observability, enterprises can continuously validate the safety, integrity, and compliance of their AI applications, ensuring resilience against real-world manipulation attempts.
The collaboration introduces a framework designed to deliver five core advantages: enhanced performance through accelerated computing; deployment flexibility for sovereign and private clouds; cost-effective scalability for AI inference and analytics; strict data privacy and locality enforcement; and tailored engineering for specific customer environments. This builds on Upwind’s broader AI security strategy, which encompasses AI workload runtime protection, vulnerability management, and LLM-aware API security.
By unifying advanced runtime security with NVIDIA's industry-leading AI infrastructure, Upwind is enabling a new standard for trusted AI deployment where security and high performance are intrinsically linked, allowing organizations to innovate with confidence.
About Upwind
Upwind is the next-generation cloud security platform built to lead the runtime revolution. With rapid momentum and a bold vision to unify cloud and application-layer protection, Upwind helps organizations run faster, detect threats earlier, and secure their environments with unmatched precision. Upwind was founded by Amiram Shachar and his founding partners from Spot.io (which was sold to NetApp for $450 million) and is backed by top cybersecurity investors Greylock, Cyberstarts, Leaders Fund, Craft Ventures, Cerca Partners, and Sheva, a VC fund founded by former NBA player Omri Casspi. The company has secured $180 million in funding since its founding in 2022.
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