

As identity fraud continues to rise, more and more organizations are turning to facial biometrics. This technology makes it possible to confirm that a person is truly who they claim to be by comparing their face to an identity document and verifying their real-time presence behind a screen.
Yet this effectiveness creates a paradox. Biometrics is one of the most powerful tools available to combat identity theft, but it is also perceived as intrusive. Capturing and analyzing someone’s face touches on something deeply personal. In this context, the GDPR serves as the essential legal framework in Europe to regulate such practices.
So what does the law actually say?
The General Data Protection Regulation (GDPR) defines biometric data as personal data resulting from specific technical processing relating to the physical, physiological, or behavioral characteristics of a person, which allows or confirms their unique identification.
In practical terms, this may include:
It is important to distinguish between a raw image (such as a photograph) and a biometric template, which is a mathematical representation created for comparison purposes.
Under the GDPR, biometric data used for the purpose of uniquely identifying a person falls into the category of “special categories of data” (commonly referred to as sensitive data). As a rule, processing such data is prohibited unless specific conditions apply.
Why this heightened level of protection?
This does not mean that biometric data cannot be used, but it does mean that its use is strictly regulated.
To comply with the GDPR, any biometric-based identity verification system must adhere to several fundamental principles.
The principle of data minimization requires organizations to collect only the data that is strictly necessary for the intended purpose.
In the context of identity verification, this means:
The purpose must be specific, explicit, and legitimate, for example, preventing fraud during onboarding or securing an electronic signature process.
The GDPR requires organizations to implement appropriate technical and organizational measures to ensure a level of security proportionate to the risk.
For biometric systems, this typically includes:
Security is not optional, it is central to compliance.
Users must be clearly informed about:
Consent may serve as a legal basis in some cases, but it must be freely given, specific, informed, and unambiguous. In other contexts, the legal basis may be a legal obligation (such as KYC requirements) or legitimate interest, provided a proper balance is maintained with individuals’ rights and freedoms.
The real question is not whether biometrics is compatible with the GDPR, but how it is designed and implemented.
The GDPR enshrines the principle of “data protection by design and by default.” This means privacy must be integrated from the earliest stages of system development.
In practice, this may involve:
The goal is to reduce risk at its source.
Technical standards and certifications also play an important role. Solutions evaluated against recognized frameworks (such as ISO or CEN standards) and audited by independent bodies provide additional assurances regarding security and robustness.
While they do not replace GDPR compliance, they demonstrate a structured and responsible approach to data protection.
Conclusion :
Biometric identity verification does not conflict with the GDPR. Rather, it operates within a demanding framework designed to reconcile two key objectives: effectively combating fraud while safeguarding individuals’ fundamental rights.
In a world where digital interactions are multiplying and fraud is becoming increasingly industrialized, the challenge is not to abandon biometrics, but to use it responsibly, transparently, and proportionately. Under those conditions, biometrics can become a powerful driver of trust in the digital identity ecosystem.
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