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Blog · March 13, 2026

European Data Governance Act (DGA): Identity Data Impact

The European Data Governance Act (DGA) is reshaping how organizations manage and share data, particularly identity data. This blog explores its implications for businesses, focusing on compliance, data sharing mechanisms, and.

By DiditUpdated
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Enhanced Data SharingThe DGA aims to foster secure and trustworthy data sharing within the EU, impacting how organizations access and utilize various datasets, including identity-related information, to drive innovation and public services.

New Regulatory LandscapeBusinesses must adapt to strict requirements for data intermediaries, data altruism, and consent management, necessitating robust systems for transparent data handling and user control over their identity data.

Compliance Challenges and OpportunitiesWhile compliance with the DGA presents operational challenges, it also creates opportunities for businesses to build greater trust with users through ethical data practices and secure identity verification processes.

Didit's Role in DGA ComplianceDidit's modular, AI-native identity platform, featuring robust ID Verification, 1:1 Face Match, and secure data handling, provides essential tools for businesses to meet DGA requirements and facilitate trusted data exchange.

Understanding the European Data Governance Act (DGA)

The European Data Governance Act (DGA), which became fully applicable in September 2023, is a cornerstone of the EU's data strategy, designed to make more data available for use and foster a trusted data-sharing environment across the Union. Unlike the GDPR, which focuses on data protection, the DGA primarily addresses data availability and reuse, setting rules for data intermediaries and promoting data altruism. For businesses handling identity data, the DGA introduces significant changes that require careful consideration and strategic adaptation.

The core objective of the DGA is to unlock the potential of data by creating clear frameworks for data sharing within and across sectors, both public and private. This includes rules for the reuse of public sector data, mechanisms for data sharing between businesses, and a framework for data altruism where individuals or companies can make their data available for the common good. The Act emphasizes trust, transparency, and data sovereignty, ensuring that individuals and organizations retain control over their data while facilitating its responsible use.

For identity data specifically, the DGA influences how personal identifiers, demographic information, and verification results can be shared and processed. This is particularly relevant for sectors like finance, healthcare, and e-commerce, where identity verification is paramount and data sharing can enable more robust fraud prevention and personalized services, provided it adheres to the DGA's principles.

Key Implications for Identity Data Management

The DGA introduces several critical implications for how organizations manage and share identity data. One of the most significant changes is the establishment of a framework for 'data-sharing services' and 'data altruism organizations.' These entities will act as trusted intermediaries, facilitating the secure exchange of data while ensuring compliance with existing data protection laws like GDPR.

For businesses, this means that leveraging identity data from third-party sources or contributing their own identity data to broader datasets will likely involve these regulated intermediaries. This adds a layer of scrutiny and compliance requirements. Organizations must ensure that any identity data shared or received through these channels adheres to the DGA's strict rules on consent, purpose limitation, and security. For instance, if a company wants to use aggregated, anonymized identity data for market research, they must ensure the data was collected and shared in compliance with DGA and GDPR principles.

Furthermore, the DGA mandates that data-sharing services must be neutral and avoid conflicts of interest. This means they cannot use the shared data for their own purposes, only facilitate its exchange. This emphasis on neutrality is designed to build trust in data-sharing mechanisms, encouraging more organizations to participate. For identity verification providers, this could mean new opportunities to integrate with data-sharing services for enhanced identity validation, such as cross-referencing against broader, verified datasets, while maintaining strict data separation.

Ensuring Compliance and Building Trust with Secure Identity Verification

Compliance with the DGA, especially when dealing with identity data, requires robust technical and organizational measures. Businesses must implement systems that can track data flows, manage consent effectively, and demonstrate adherence to the DGA's principles of transparency and fairness. This is where advanced identity verification solutions become indispensable.

For example, when verifying a user's identity, a business collects various pieces of personal data. Under the DGA, if this data is intended for reuse or sharing beyond the initial verification purpose, explicit, granular consent is often required. Didit's ID Verification solutions, including OCR, MRZ, and barcode scanning, coupled with Passive & Active Liveness detection and 1:1 Face Match, ensure that identity data is captured accurately and securely from the outset. This foundational accuracy is crucial for any subsequent data sharing activities.

Moreover, the DGA's focus on trust aligns perfectly with the need for strong fraud prevention. Synthetic identity fraud, where fraudsters combine real and fake information to create new identities, poses a significant threat. Didit's Database Validation, which validates identity data against national and global databases using 1x1 and 2x2 matching, is a powerful tool against such fraud. By verifying data against authoritative sources, businesses can ensure the identities they are dealing with are genuine, thereby building trust not only in their services but also in the broader data ecosystem.

The DGA also encourages data altruism, where individuals can voluntarily make their data available for the common good. While this primarily applies to non-personal data, anonymized or pseudonymized identity data could potentially be shared under these frameworks. Businesses must have clear processes for anonymization and pseudonymization to ensure that such data sharing doesn't inadvertently expose personal information, aligning with both GDPR and DGA requirements.

How Didit Helps Navigate the DGA Landscape

Navigating the complexities of the European Data Governance Act requires a partner with a deep understanding of data security, compliance, and identity management. Didit, as an AI-native, developer-first identity platform, is uniquely positioned to help businesses meet these new regulatory demands.

Our modular architecture allows companies to compose verification workflows that are inherently DGA-compliant. For instance, our Database Validation API provides 1x1 and 2x2 matching against government and financial databases in over 30 countries. This capability is vital for ensuring the authenticity of identity data, a prerequisite for trusted data sharing under the DGA. By verifying data against authoritative sources, businesses can confidently participate in data-sharing initiatives, knowing their foundational identity data is robust.

Didit's commitment to a developer-first approach means that integrating these advanced verification capabilities is seamless, allowing businesses to rapidly deploy solutions that comply with DGA requirements. Our platform supports the orchestration of various identity checks, from ID Verification (OCR, MRZ, barcodes) to Passive & Active Liveness and 1:1 Face Match & Face Search, all crucial for establishing a high level of assurance for identity data. This comprehensive approach minimizes the risk of fraudulent identities entering data-sharing ecosystems.

Furthermore, Didit's Free Core KYC offering and pay-per-successful-check model, coupled with no setup fees, make robust DGA compliance accessible to businesses of all sizes. Our AI-native technology ensures efficient, accurate, and scalable identity verification, reducing the need for manual review and streamlining the entire process. By providing structured identity data and ensuring global coverage, Didit empowers businesses to build trust, prevent fraud, and contribute to a secure, compliant data economy as envisioned by the DGA.

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European DGA: Identity Data Impact & Compliance.