September 3, 2024

How to build Trust with Private Synthetic Data

Secludy
4 mins

In today’s data-driven world, trust is paramount—not just between people, but in the synthetic data that powers critical business decisions. Enterprises collect vast amounts of data across domains like finance, customer behavior, and operations. However, much of this data is often inaccessible due to stringent data privacy regulations. This is where synthetic data comes into play, offering a solution to unlock insights while safeguarding sensitive information.

At Secludy, we understand the importance of trust in synthetic data. That’s why our platform is built to help enterprises confidently use synthetic data, knowing that it meets the highest standards for quality, privacy, and secure deployment.

Why Trust in Synthetic Data Matters:


Synthetic data offers businesses the potential to generate more insights, accelerate go-to-market strategies, and drive innovation. However, the question we often hear is: “Can we trust this data?” The short answer is yes—but only if you have the right measures in place.

Building Trust Through Quality:

Trust begins with the quality of the synthetic data. At Secludy, we focus on ensuring that synthetic data closely mirrors real data from a statistical perspective. This involves:

  • Similarity measurement: This refers to the methods and metrics used to evaluate how closely synthetic data matches the real data in terms of statistical properties, distributions, and relationships between variables. This measurement is crucial for validating the quality of synthetic data, ensuring it retains the characteristics necessary for effective use while maintaining privacy.
  • Diversity test: Data diversity testing involves evaluating the synthetic data to ensure that it captures the full range of variability present in the original datasets. This means that the synthetic data should not only mirror the statistical properties of the real data but also represent the diverse characteristics and behaviors of different data subsets.

With Secludy’s robust quality controls, you can trust that your synthetic data will be as useful and reliable as real data, without compromising on integrity.

Building Trust Through Privacy:

Privacy is a major concern when working with data, especially when it involves Personally Identifiable Information (PII). Traditional methods like anonymization often reduce data quality. However, Secludy leverages advanced techniques such as Differential Privacy (DP), which maintains data utility while ensuring privacy.

  • Privacy Mechanisms: We implement sophisticated privacy mechanisms that protect against the exposure of sensitive information during the data generation process.
  • Risk Metrics: Secludy collaborates with third-party independent entities, such as Microsoft AI Red Team and Nvidia Red Team, to provide metrics that quantify the risk of data leakage and inference attacks, ensuring that your synthetic data sets are not only privacy-protected but also secure from external threats.

Building Trust Through Secure Deployment:

Finally, trust in synthetic data also depends on how it’s deployed. Secludy offers flexible deployment options tailored to your organization’s needs:

  • On-Premise vs. Cloud: Whether your preference is for on-premise deployment to keep PII under strict control, or for cloud deployment to leverage scalability and efficiency, Secludy supports both approaches.
  • Centralized vs. Decentralized Data Management: Trust can be further enhanced by adopting a centralized approach to data generation and management. By limiting the creation and distribution of synthetic data to a controlled group, you can ensure that it meets stringent quality and privacy standards before being used downstream.


At Secludy, we are committed to helping organizations harness the power of synthetic data with confidence. By focusing on quality, privacy, and secure deployment, we ensure that the synthetic data you generate is not only high-fidelity but also safe and reliable for your business needs.

Trust in synthetic data is not just about believing in its potential; it's about knowing that every step, from data generation to deployment, is handled with the utmost care and precision. With Secludy, you can trust that your synthetic data is ready to drive your next wave of innovation.

If you’re interested in learning more about how Secludy can help you trust and leverage synthetic data, contact us today or request a demo. We’d love to show you how our platform can transform your data-driven strategies.

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