South Korea’s AI community is deepening its collaboration with NVIDIA to develop advanced, secure agentic AI systems. Hyundai Motor Group and AIM Intelligence are integrating NVIDIA’s open-source tools to support AI agents capable of autonomously handling tasks within secure enterprise environments.
Hyundai Motor Group is exploring NVIDIA’s NemoClaw blueprints alongside the OpenShell runtime, which is a critical element of NVIDIA’s Open Agent Safety Platform. OpenShell offers a secure, sandboxed execution environment with policy-based controls to manage AI agent access to sensitive data and enterprise tools while governing autonomous actions.
AIM Intelligence, a Korean AI security firm, is combining its Starfort platform with NVIDIA OpenShell. This integration aims to fuse OpenShell’s runtime security features with Starfort’s capabilities to detect malicious instructions and prevent data leaks, enhancing protection for AI agents deployed in business workflows.
On the modeling side, LG AI Research has opened API access to the K-EXAONE-2.5 model, developed using NVIDIA Nemotron datasets. Nemotron-Personas-Korea, part of these datasets, provides 7 million fully synthetic Korean personas based on official statistics, allowing model builders to ground AI training and evaluation specifically in Korean contexts.
The Nemotron family of open models, datasets, and techniques enables developers to create specialized and efficient AI agents tailored to regional requirements. NVIDIA’s initiative fosters a sovereign AI development environment in Korea, aimed at addressing both performance and security challenges in agentic AI usage.
These developments signify practical steps toward deploying autonomous AI agents in sensitive sectors like energy, industrial operations, and robotics. The combined efforts ensure agents operate within secure runtime environments and adhere to strict governance policies, mitigating risks related to data breaches or unintended autonomous behaviors.
However, while sandboxed runtime environments and policy controls advance AI safety, limitations remain. The detection of sophisticated malicious instructions and comprehensive governance across diverse workflows will require continuous refinement and domain-specific adaptations as AI agent complexity grows.
Source & further reading
Korea’s AI Ecosystem Advances and Secures Agentic AI With NVIDIA ↗Source published 2026-11-09. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.