Anonymisation software

Delfland Water Board

Among other things, the algorithm recognises and anonymises (personal) data, confidential financial data and other privavy sensitive information in documents before they are published or shared.

Last change on 7th of November 2024, at 10:08 (CET) | Publication Standard 1.0

• Publication category: Other algorithms
• Impact assessment: DPIA
• Status: In use

General information

Theme

Organisation and business operations

Begin date

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Contact information

[e-mail]

Link to publication website

https://www.hhdelfland.nl/

Responsible use

Goal and impact

We use a tool to mask personal data. This is done when decisions are made available for inspection and when documents are requested, for example for objections, Woo requests and other information requests. The anonymisation software is used to prevent personal or confidential data from being unintentionally shared or disclosed.

Considerations

The application supports employees in quickly and carefully wiping away data. It uses a whitelist and blacklist.

A whitelist is a list of specific data, fields, or identifiers explicitly approved to be retained during the anonymisation process.

A blacklist, on the other hand, is a list of data, fields, or identifiers that are explicitly prohibited and must be anonymised or deleted during the anonymisation process.

Human intervention

Any masked text in a document is approved or rejected by a collaborator.

Risk management

The risks are minimal as a staff member always checks the result still.

A retention policy is set in the application.

Masking is irreversible. The data cannot be traced.

Legal basis

General Data Protection Regulation (AVG), the Open Government Act (Woo)

Links to legal bases

• Algemene Verordening Gegevensbescherming (AVG): https://wetten.overheid.nl/BWBR0040940
• Wet Open Overheid (Woo): https://wetten.overheid.nl/BWBR0045754

Impact assessment

Data Protection Impact Assessment (DPIA)

Operations

Data

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Technical design

Smart features, such as set rules or templates, make it possible to anonymise per document or as a bulk. In this way, the method and degree of anonymisation of commonly used (standard) documents can also be set. The software then uses pattern recognition and Natural Language Processing to search for names, addresses, dates of birth, specific set words, signatures or regular expressions (such as e-mail, IBAN, BSN). The xxlinc software recognises these and makes suggestions for masking or anonymises them fully automatically.

External provider

xxlinc