Data protection risks: 80+ examples for your risk analysis

8. June 2026
5 minutes

The systematic identification of data protection risks is one of the key requirements for effective data protection management. In practice, companies often lack not the awareness of risks, but a structured framework for documenting them comprehensively and with adequate traceability.

This article explains what data protection risks are, which categories are particularly relevant, and how to systematically identify risks. At the end, you will find a list of over 80 concrete examples for direct use in your risk analysis.

List of Data Protection Risks: Technical and Organizational Risks
    • Data protection risks affect the confidentiality, integrity, transparency, intervenability, non-linkability, data minimisation and availability of personal data.
    • They can be divided into technical, organizational, and process-related risks.
    • Art. 32 of the GDPR requires companies to systematically assess risks and implement appropriate technical and organizational measures.
    • The record of processing activities represents the basis for comprehensive risk identification.
    • Pre-defined, categorized examples significantly simplify a risk analysis and helps reduce blind spots.

What are data protection risks?

Data protection risks are potential events or vulnerabilities that could compromise, among others, the confidentiality, integrity, or availability of personal data. If such a risk materializes, it can lead to a data breach as defined in Article 4(12) of the GDPR, with potential reporting obligations to the supervisory authority (Article 33 of the GDPR) and data subjects (Article 34 of the GDPR).

Data protection risks do not arise solely from external attacks. They also result from internal process gaps, unclear responsibilities, or inadequate documentation.

What categories of data protection risks exist?

Data protection risks can be divided into three categories, which often interact in practice.

  • Technical risks arise from vulnerabilities in IT systems, infrastructure, or security architecture. Typical examples include ransomware attacks, insecure system configurations, unencrypted data transfers, or inadequately protected networks.
  • Organizational risks relate to structures, processes, and the behavior of individuals within the company. These include inadequately trained employees, unclear responsibilities regarding data protection, a lack of internal policies, or errors in fulfilling legal requirements such as the right to information under Article 15 of the GDPR.
  • Process-related risks arise from vulnerabilities in specific data processing procedures. A typical example: the unintentional storage of original data following anonymisation because the process was not fully thought through or documented.

Systematic identification of all three categories is a prerequisite for creating protective measures specifically tailored to the actual vulnerabilities within the company.

How are data protection risks identified?

The starting point for risk identification is the analysis of all data flows within the company. Which systems process personal data? Which processes access it? The Record of Processing Activities provides the structural foundation for this.

Building on this, a structured approach is recommended: Regular risk analyses and audits help to review the current security status and identify new risks early on, including both external threats and internal vulnerabilities. A description of the entire process can be found in our 5-step guide to risk management in data protection.

A helpful tool for identification is a collection of ready-made examples, especially if the risks are already categorized by attacker type and the 7 protection goals of the Standard Data Protection Model. This helps reduce blind spots and saves time during the initial assessment.

80+ data protection risks available for download

We have compiled a structured list of over 80 typical data protection risks. The examples are organized by risk category and can be used directly for your risk analysis.

Included in the list are:

  • 80+ specific data protection risks with categorization
  • Classification by technical, organizational, and process-related risks
  • Ready to use for risk analysis and data protection management

With this download, you’ll also receive our free newsletter on data compliance topics.

Download the list of 80+ data protection risks now

How does risk assessment work with caralegal?

Manually recording and keeping data protection risks up to date is time-consuming in growing organizations. caralegal’s risk management software enables you to document and assess data protection risks in a structured manner and link them to the associated processing activities, both for GDPR requirements under Article 32 and for AI governance under the EU AI Act.

Over 80 examples of common data protection risks—an exclusive list available when you subscribe to our newsletter

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FAQ

  • Data protection risks are potential events or vulnerabilities that jeopardize the confidentiality, integrity, transparency, intervenability, non-linkability, data minimisation and availability of personal data. They can be technical, organizational, or process-related in nature and, if they occur, can lead to a reportable data breach under Article 33 of the GDPR.

  • Typical technical data protection risks include ransomware attacks, phishing, insecure system configurations, unencrypted data transfers, and inadequately secured networks or end devices.

  • Organizational data protection risks arise from a lack of training, unclear responsibilities, inadequate internal policies, or the incorrect implementation of legal obligations such as the right to information under Article 15 of the GDPR.

  • TOM must be documented in such a way that, in the event of an audit, they provide verifiable evidence of the actual level of protection implemented. General statements such as “access protection in place” are generally not sufficient for supervisory authorities. Audit-proof means: a concrete description of the measures implemented, their association with the relevant processing activities, and regular updates in the event of system changes. The TOM documentation is directly linked to the risk analysis under Art. 32 GDPR: protective measures must be appropriate to the identified risk level.

  • Typical data protection risks in processing activities arise where documentation and operational practices diverge. Common examples include: unclear or incorrect legal bases, imprecise information on data categories, missing or unrealistic retention periods, and inadequately described technical and organizational measures. In organizations operating internationally, undocumented third-country transfers are an additional concern. The record of processing activities is therefore not only a mandatory document but also the central source for systematic risk identification.

  • Article 32 of the GDPR requires a systematic risk assessment and the implementation of appropriate technical and organizational measures. The documentation should be traceable and updated regularly. A structured risk list, such as the one available for download in this article, serves as the foundation.

  • A data protection risk describes a potential threat prior to any damage having occurred. A data protection incident (data breach as defined in Art. 4(12) GDPR) refers to the actual occurrence of an incident affecting personal data.

Article written by

Dennis Kurpierz Co-Founder & COO

Dennis Kurpierz is co-founder and Chief Operating Officer of caralegal. Thanks to his many years of experience as a senior consultant and lead project manager at ISiCO Datenschutz GmbH, he is familiar with customer needs, pain points, and challenges in data protection management. As product owner, he applies this expertise to product development at caralegal.

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