🌱 A New Era of Safe and Smart Public Data Use

CUBIG is pleased to share that DTS, our synthetic data infrastructure solution, is emerging as a key platform for government agencies seeking safe and scalable ways to open public data.

As data-driven administration accelerates, agencies face the challenge of enabling AI innovation while maintaining strict privacy protection. DTS was designed to solve exactly that.

🔐 From Volume to Quality: Shifting Standards in Public Data Opening

In 2025, the Ministry of the Interior and Safety added a new evaluation criterion for agencies that open pseudonymized or synthetic data.

Although more than 102,000 datasets are available on the Public Data Portal, the most valuable datasets—covering resident registration, healthcare, welfare, and civil services—remain closed due to privacy risks.

Government bodies and KISA now highlight synthetic data as the key technology that enables both safe public data opening and AI adoption.

🚀 DTS: A Non-Access Architecture for High-Risk Public Data

DTS ensures that original data stays inside the agency at all times. Built on a Non-Access structure, it prevents external operators from viewing or handling real data while enabling secure transformation into synthetic form.

Differential Privacy is applied to mathematically control re-identification risks. With support for tabular, text, image, and time-series formats through a unified pipeline, DTS is optimized for the diverse nature of public-sector data.

💡 Enabling Public Data Opening, Joint Research, and Cross-Agency Collaboration

By transforming high-risk datasets into synthetic versions, agencies can finally open valuable data on the Public Data Portal, support joint research with private and academic sectors, and enable cross-agency data combination projects.

DTS not only supports compliance with the new evaluation index but also accelerates data-driven policymaking and AI service deployment.

🌍 Expanding Toward Public-Sector Synthetic Data Workspaces

CUBIG has already proven its capabilities through pilot projects in finance, public services, and defense. DTS will continue to expand through integration with SynTitan and SynLake to provide customized synthetic data workspaces for central and municipal government agencies.

CEO Ho Bae emphasized that the goal is not to open more data, but to open it safely in a form that AI can use—setting the stage for expansion into global public-sector markets under GDPR-level regulations.

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