Chapters

This chapter provides the foundation for understanding the General Data Protection Regulation (GDPR) within the Danish context. It explains the core principles of personal data processing, data classification, and levels of sensitivity. It also distinguishes the main types of personal data breaches, covers breach notification, and outlines the proposed Single-Entry Point (SEP).

This chapter explains the incident types defined by the Danish Data Protection Agency (Datatilsynet) and the risks they pose to personal data. It then introduces the MEO Framework (Mistakes, Errors, and Omissions), which categorises unintentional breaches by failure mode. Together, the incident types and the MEO Framework help organisations understand how breaches occur and identify appropriate safeguards.

This chapter explains how the Danish Data Protection Agency (Datatilsynet) classifies data controllers by sector and industry. It also identifies the industries with the most reported personal data breaches between 2018 and 2026.

This chapter describes the source of the dataset used to analyse personal data breaches reported in Denmark. It explains the methodology for collecting and categorising the data to examine trends across sectors, industries, and incident types. It also addresses the dataset's limitations and their implications for interpreting the findings.

This chapter summarises the key findings, highlighting major trends and recurring patterns in personal data breaches reported in Denmark. It identifies the most common incident types and the sectors with the most notifications, and provides an overview before the detailed analysis in Chapter 6.

This chapter examines the dataset across sectors and years, exploring the practical implications of the findings. It applies the MEO Framework to examine patterns of Mistakes, Errors, and Omissions in reported unintentional breaches. The results help organisations prioritise their data security measures.

This chapter brings together insights from earlier chapters to present a clear approach to protecting personal data throughout its lifecycle. It draws on the MEO Framework to explain why Mistakes, Errors, and Omissions require different safeguards. The chapter connects prevention, breach response, and organisational learning to help organisations strengthen data security in everyday practice.