Korean AI groups expand secure agentic AI work with NVIDIA tools

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Korean AI expands with NVIDIA

Highlights

Hyundai Motor Group is evaluating NVIDIA NemoClaw and OpenShell blueprints to expand secure agentic AI integration within enterprise environments.
AIM Intelligence is integrating its Starfort agent control platform with NVIDIA OpenShell to enhance secure AI agent deployment, targeting productivity and data protection in enterprises.
LG AI Research is enabling API access for K-EXAONE-2.5, developed with NVIDIA Nemotron datasets including the 7 million persona Nemotron-Personas-Korea, expanding AI model capabilities for Korean developers.

Secure agent platform plans take shape

As reported by NVIDIA Newsroom, Hyundai Motor Group is exploring NVIDIA NemoClaw blueprints and the NVIDIA OpenShell runtime as AI agents take on more work inside enterprises.

AIM Intelligence, a Korean AI security company, is integrating its Starfort agent control platform with NVIDIA OpenShell to support secure AI agents for employee productivity and enterprise workflows. The company says the combination is intended to pair OpenShell's runtime access controls with Starfort's detection of malicious instructions and data leakage.

OpenShell, a component of the NVIDIA Open Agent Safety Platform, provides a secure runtime with sandboxed execution and policy-based controls. These features are designed to safeguard sensitive data, manage access to enterprise tools and govern autonomous agent actions.

AIM Intelligence is also considering a preliminary proof of concept for the public energy sector, with potential applications extending across enterprise, industrial and robotics environments.

Korean model access broadens for developers

On the model side, LG AI Research is opening application programming interface access for K-EXAONE-2.5, which is developed using NVIDIA Nemotron datasets, including Nemotron-Personas-Korea.

Nemotron-Personas-Korea is an open dataset of 7 million fully synthetic Korean personas grounded in official Korean statistics. The dataset is intended to help model builders anchor training data and evaluation in Korean contexts, while the wider NVIDIA Nemotron family provides open models, datasets and techniques for building specialized, efficient AI agents.

In our earlier coverage of ByteDance’s AI safety push, we reported that its Seed research unit set up an Alignment & Preparedness team and launched a global hiring drive to strengthen oversight for increasingly autonomous models. The initiative focuses on safety training, automated vulnerability testing, monitoring tools, and agent-testing environments—highlighting how safety and alignment are becoming prerequisites for scaling AI agents into real-world deployment.

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