🔐 CUBIG Develops Differential Privacy-Based Synthetic Data Solution

We’re excited to share that CUBIG, the synthetic data company, has developed its own synthetic data solution powered by Differential Privacy (DP) — providing a secure alternative for handling sensitive data in the age of AI.

💡 Why It Matters

Traditional synthetic data solutions often face a trade-off: high performance but poor security, or stronger protection but limited usability.

CUBIG’s new approach eliminates this dilemma by integrating Differential Privacy, the same advanced algorithm used by the US Census Bureau and leading global tech companies.

🏆 SOTA Performance and Security

Our DP-based solution maintains State-of-the-Art (SOTA) levels in both performance and protection.

Once applied, the privacy guarantees remain intact, ensuring that sensitive records cannot be reconstructed or re-identified.

This not only minimizes legal risks but also provides strong resistance against re-identification and reconstruction attacks.

🌏 Cubig DTS

“Our solution proves that synthetic data can be both powerful and safe,” said Bae Ho, CEO of CUBIG.

“As we expand globally, we will continue to prioritize privacy and sensitive data security, positioning CUBIG as a leader in the next generation of synthetic data technologies.”

With this breakthrough, CUBIG reaffirms its mission to create a safer, more responsible data ecosystem — enabling enterprises and institutions to innovate without compromise.

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