EntrD and education

Privacy, security and workability in balance

Educational institutions work daily with large amounts of privacy-sensitive information from students, staff, and students. It is therefore essential to handle this data carefully – in accordance with the GDPR and the Information Security & Privacy Standards Framework (IBP).

Our solutions for education

EntrD ‘s solutions help educational institutions effectively combine data quality, privacy protection, and regulatory compliance. With FileFactory and DataFactory , you can automatically clean files and make sensitive data untraceable, without compromising usability.

FileFactory –
Control your documents and student files

FileFactory helps educational institutions quickly and securely find and remove sensitive data such as citizen service numbers (BSNs), copies of IDs, or medical records from documents. The tool makes PDFs searchable, automatically classifies files, and works seamlessly with any DMS, file share, or SharePoint environment.

“With FileFactory, we finally have real control over our student files.”

Unique benefits for educational institutions:
– Clean up your archive once with a turnkey project
– Regularly keep all new documents clean
– Automatic classification and OCR for searchability
– AI-assisted recognition of sensitive information
– Suitable for any volume and any environment
– Proven technology: tens of millions of documents already cleaned up

DataFactory – Secure test data, fully compliant

DataFactory anonymizes or pseudonymizes data from any application or database – fully automated and without loss of representativeness. This allows you to continue testing, training, or analyzing securely, without personal data being exposed in the event of an incident.

DataFactory also works across multiple systems and can be deployed throughout the entire chain.

Ensures compliance with, among other things:
– GDPR
– ISO 27001
– NEN 7510
– IBP standards framework for education

Strong in:
– Realistic test data without risk
– Chain-wide data masking
– Application-independent, widely applicable