eIDAS Data Minimization: A Practical Guide

The revised eIDAS (electronic Identification, Authentication and Trust Services) regulation, expected to be fully enforced by late 2024, introduces significant changes to digital identity verification in Europe. A core principle of eIDAS 2.0 is data minimization – limiting the collection and processing of personal data to what is strictly necessary. This blog post provides a practical guide to understanding and implementing data minimization in the context of eIDAS, covering the legal requirements, best practices, and how Didit can help.

Key Takeaway 1: eIDAS 2.0 elevates data minimization from a recommendation to a legal obligation, with potential fines for non-compliance.

Key Takeaway 2: Data minimization isn’t just about collecting less data; it’s about the entire lifecycle of data – collection, processing, storage, and deletion.

Key Takeaway 3: Implementing data minimization requires a risk-based approach, tailoring data collection to the specific verification use case.

Key Takeaway 4: Technologies like reusable digital identities and privacy-enhancing technologies (PETs) are crucial for achieving eIDAS-compliant data minimization.

Understanding Data Minimization Under eIDAS 2.0

Data minimization, as defined by Article 5(1)(c) of the GDPR (which eIDAS 2.0 builds upon), means that personal data shall be ‘adequate, relevant and limited to what is necessary’ in relation to the purposes for which they are processed. In the context of digital identity verification, this means you should only request and retain the minimum amount of information needed to verify a user’s identity for a specific purpose. eIDAS 2.0 strengthens this requirement, particularly for Qualified Trust Service Providers (QTSPs), but applies to all entities involved in digital identity verification within the EU.

Previously, many companies adopted a ‘just in case’ approach to data collection, gathering as much information as possible in anticipation of future needs. eIDAS 2.0 fundamentally shifts this paradigm. The regulation emphasizes a purpose-driven approach, requiring organizations to clearly define the purpose of identity verification before collecting any data.

Specific Requirements of eIDAS 2.0 Regarding Data

eIDAS 2.0 introduces several specific requirements related to data handling:

• Purpose Limitation: Data collected for one purpose cannot be used for another incompatible purpose.
• Data Retention: Personal data must be retained only for as long as necessary to fulfill the specified purpose.
• Data Security: Organizations must implement appropriate technical and organizational measures to protect personal data from unauthorized access, use, or disclosure.
• Reusable Digital Identities: eIDAS 2.0 promotes the use of reusable digital identities, allowing users to control their data and share it selectively.
• Privacy by Design and Default: Data protection considerations must be integrated into the design of all systems and processes from the outset.

The regulation specifically calls out the need for digital identity metrics to assess and demonstrate compliance. These metrics might include the percentage of data fields collected that are actually used for verification, the average data retention period, and the number of data breaches.

Practical Steps for Implementing Data Minimization

Implementing data minimization isn’t simply a matter of checking a box. It requires a comprehensive assessment of your existing identity verification processes and a commitment to ongoing improvement. Here are some practical steps:

1. Data Mapping: Document all data elements you currently collect during identity verification, including the purpose for collecting each element.
2. Purpose Assessment: For each data element, determine whether it is truly necessary for the specified purpose. If not, stop collecting it.
3. Data Retention Policy: Develop and implement a clear data retention policy that specifies how long each data element will be retained and the criteria for deletion.
4. Anonymization and Pseudonymization: Where possible, anonymize or pseudonymize data to reduce the risk of identification.
5. Consent Management: Obtain explicit consent from users before collecting and processing their data.
6. Regular Audits: Conduct regular audits to ensure compliance with data minimization principles.

For example, if you're verifying a user's age for access to an age-restricted service, you only need to confirm they are over a certain age. You don’t need their full date of birth, address, or other personal details. Similarly, for basic account creation, a minimal set of data like email address and username may be sufficient.

The Role of Technology in Data Minimization

Technology plays a critical role in facilitating data minimization. Reusable digital identities, powered by technologies like Self-Sovereign Identity (SSI) and verifiable credentials, allow users to control their own data and share it selectively. Privacy-Enhancing Technologies (PETs), such as homomorphic encryption and differential privacy, can enable data processing without revealing the underlying data. Furthermore, advanced fraud detection algorithms can reduce the need for extensive data collection by identifying high-risk transactions more accurately.

How Didit Helps

Didit is designed with data minimization at its core. Our platform offers:

• Modular Architecture: Choose only the verification modules you need, avoiding unnecessary data collection.
• Reusable KYC: Enable users to verify their identity once and reuse it across multiple platforms, reducing redundant data collection.
• Privacy-by-Default Design: Selfies are processed in memory and deleted immediately; we never store raw biometric data.
• Workflow Orchestration: Build custom verification flows tailored to specific use cases, minimizing data collection.
• Data Residency: EU-based infrastructure ensures compliance with European data protection laws.

Ready to Get Started?

Don’t wait until the eIDAS 2.0 enforcement date to start preparing. Implementing data minimization now will not only ensure compliance but also build trust with your users. Request a demo of the Didit platform to see how we can help you navigate the complexities of eIDAS 2.0 and achieve data minimization. You can also explore our technical documentation for detailed information on our features and APIs.