How do you work with sensitive data, train AI or collaborate with third parties without exposing real information? The answer is synthetic data and anonymisation, two techniques Data Layer applies with GDPR by design.
What anonymisation is
It is the process of transforming personal data so it cannot be linked to a person, while keeping its analytical usefulness. Done well, it drastically reduces risk and exposure.
What synthetic data is
It is artificial data that reproduces the statistical properties of the real data without containing information about specific people. Useful for testing, AI and third-party collaboration without risk.
What they are for
- Train AI models without exposing real data.
- Testing and development with realistic data.
- Collaborate with partners without sharing sensitive information.
- Comply with GDPR by minimising exposure.
Data Layer offers anonymisation, pseudonymisation and safe synthetic datasets as part of its platform, with processing in Europe and a GDPR-by-design approach.
- Anonymisation decouples data from the person.
- Synthetic data reproduces the statistics without real data.
- Data Layer applies them with GDPR by design and EU processing.
Exploit your data without exposing it.
Anonymisation and synthetic data with compliance. Talk to a Data Layer expert.