Korea’s AI Ecosystem Advances and Secures Agentic AI With NVIDIA

As AI agents take on more work, they need both capable models and security protections. Several organizations are developing tools to address this: one company is integrating its agent control platform with a secure runtime that uses sandboxed execution and policy-based controls to protect sensitive data and manage enterprise tool access, while another is opening API access to a language model trained on synthetic datasets designed for Korean contexts. These developments aim to enable secure AI agents for employee productivity, enterprise workflows, and potentially industrial and robotics applications.