AI is only as reliable as the data it runs on. That is why SureSync starts at the source: organizations keep control of their data, data is checked before AI works with it, and every outcome can be traced back.
We bring AI to the data, not the other way around
When it comes to AI, many organizations think of scalability, speed and cloud technology first. With sensitive data, such as patient records, personal data, financial data or business-critical information, other questions come into play.
Where is the data stored, who has access to the models and which laws govern the data? These are governance questions. Especially when AI models learn from historical data, an organization needs to stay in control of its data, metadata and the way models are applied.
For SureSync, this means:
- AI processing in a controlled and secure environment
- Data stays at the source as much as possible
- Insight into which data is used and how outcomes are produced
- Working with fixed definitions, validation rules and audit trails
- Setup in line with relevant laws, regulations and sector-specific standards
- Less dependence on legal uncertainty around foreign cloud environments
This keeps AI explainable, verifiable and manageable. Read more about security and certification in the Trust Center.
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Why AI starts with data
AI is appearing on more and more roadmaps. The biggest challenge usually lies in the preparation.
Is the right data available? Are the definitions correct? Is it clear where the data comes from? And can you explain how an outcome was reached?
Without that foundation, AI mainly amplifies existing risks: incomplete data, conflicting definitions, wrong conclusions and limited control. Responsible AI therefore starts with insight into your source data, clear standards and demonstrable quality.
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Frequently asked questions about AI at SureSync
Can't find your question? The experts at SureSync are happy to help.
For SureSync, AI is the result of good data. Without available, high-quality and interoperable data, AI models become unreliable. That is why the focus lies on that foundation. Because AI models learn from historical data, sovereignty over that data is a deliberate choice: sensitive data and AI models remain subject to Dutch and European law.
For sensitive data, SureSync prefers a private cloud in a Dutch data center. Data, metadata and AI models are then subject to Dutch and European law. This avoids exposure to foreign legislation such as the US CLOUD Act, and the organization keeps control over how models are trained, applied and adjusted. Read more about security and certification in the Trust Center.
No AI application is completely error-free. The risk does become much smaller when you start at the source. SureSync Validate checks whether data meets agreed definitions before it enters an AI process. SureSync Pulse continuously monitors data quality. In addition, every AI outcome must be explainable and traceable to the source data.
SureSync's AI activities follow four tracks:
- Data and quality monitoring, to keep AI applications reliable.
- Semantic standardization through KIK-V and related standards.
- Explainability and accountability towards management and regulators.
- Privacy-friendly data linking, for example through techniques that share insights without raw data leaving the organization.