Anonymization of Personal Data:
Essential Protection Against Data Breaches

Anonymization is a proven technique where personal data is permanently modified so that it can no longer be traced back to specific individuals. This method provides organizations with effective protection against costly data breaches.

Technical & Reliable

EasyData’s advanced anonymization platform automatically scans all your assigned data streams and identifies GDPR-sensitive information in real-time. Our proven algorithm transforms personal data directly into completely anonymous datasets, without manual intervention. At the same time, our dashboard provides access to the details of the configured anonymization process. With this anonymization solution, you’re protected 24/7 against data breaches.

Proven Results from Various Implementations

0% GDPR Data Recognition*
0 Years of Data Analysis Experience
0% GDPR Compliant Processing in Dutch Datacenter
0 weeks Pages per Day Processing Capacity*
*Results based on internal measurements across various projects, period 2020-2024. Individual results vary by organization, sector, and implementation scope.

Key Advantages of EasyData Anonymization

๐Ÿ”’ GDPR-Compliant

Automatic compliance with Dutch and European privacy legislation. Our solution meets all GDPR requirements and prevents substantial fines.

๐ŸŒ Dutch Datacenter

Your data stays within the Netherlands. No dependency on American tech giants like ChatGPT. Complete control over your sensitive information.

๐Ÿš€ AI-Driven Recognition

Our machine learning models recognize not only exact data, but also variations, spelling errors, and incomplete information in documents.

๐Ÿ“Š Data Remains Usable

Important patterns and relationships are preserved. Anonymized data can still be used for analysis, research, and business processes.

โšก Fast Processing

Process millions of documents in 24 hours. From manual redaction with a marker to automated anonymization in seconds.

๐Ÿ”ง Customization Possible

Special models for technical drawings, medical records, financial documents, or other specific document types.

How Does Smart Anonymization Work?

Intelligent Document Recognition

Our anonymization software begins by interpreting the submitted document. An invoice requires different anonymization than an insurance contract. For an invoice, customer name and bank account number are sensitive, while for insurance contracts the focus is on personal data and signatures.

The EasyVerify verification system ensures that users can verify whether the anonymization process has been performed correctly. This unique online verification module provides insight into what data has been modified and why.

Advanced Recognition Capabilities

EasyData technology not only recognizes GDPR-sensitive data, but is also smart enough to detect variations and incomplete information. For example, when a name is not spelled correctly or an address is incomplete.

EasyData platform interface showing automated Excel integration

Modern Anonymization Techniques

Pseudonymization: Recognition with Traceability

With pseudonymization, sensitive data is replaced by pseudonyms or codes that can still be traced within your organization via a secure key. This is ideal for situations where later access to the original data is important, for example for customer service or legal procedures.

Differential Privacy: Statistical Protection

This advanced method ensures that you can extract useful information from datasets (such as averages or trends) without individual persons being identifiable. It’s comparable to sharing salary data where no one can see which salary belongs to which person.

Synthetic Data: Artificial Datasets

Our algorithms can generate completely artificial datasets that show the same patterns and trends as your original data, but where all individual data is fictitious. Perfect for research, testing, and data science projects.

Practical Applications for Your Organization

๐Ÿ›๏ธ Processing FOI Requests

Automatically anonymize documents for Freedom of Information requests. No more manual redaction, but automated processing that meets all legal requirements.

๐Ÿ”ฌ Research and Analysis

Make datasets available for research purposes without privacy risks. Retain statistical value while individuals remain unrecognizable.

๐Ÿฅ Medical Data Processing

Anonymize patient data for medical research. Special models recognize medical terminology and optimally protect sensitive information.

๐Ÿ“‹ Technical Documentation

Technical drawings can also be anonymized. Our specialized algorithms recognize confidential information in CAD files and technical diagrams.

Security and Compliance

EasyData is a Dutch company with over 25 years of experience in sensitive data processing. Our anonymization solution runs in a secure Dutch datacenter and complies with the strictest European privacy and security requirements.

We are transparent about our technology and offer complete control over your data. You can choose cloud processing or an on-premise installation within your own organization. For specific projects, we train custom models that perfectly match your document types and workflows.

Our solution not only prevents data breaches, but also helps comply with compliance requirements such as GDPR and future regulations like the AI Act.

From Manual Redaction to AI Anonymization

The history of anonymization begins in the early days of digital data processing. When EasyData started with document processing in 1999, privacy information was still manually redacted or addressed with simple text replacement.

The arrival of big data and machine learning in the 2010s made more advanced anonymization possible. Software could not only recognize exact data, but also patterns and variations in complex datasets such as medical records or financial transactions.

Today, with stricter privacy laws like GDPR and increasing cyber threats, anonymization has become an essential tool. EasyData combines 25+ years of experience with the latest AI techniques to help organizations safely handle sensitive data.