Spanish airport operator fined for illicit use of facial recognition
Spanish airport operator fined for illicit use of facial recognition
Occurred: 2023-2024
Page published: November 2025
The Spanish Data Protection Agency (AEPD) issued a record fine and ordered the suspension of the airport operator Aena's facial recognition boarding system for failing to comply with key GDPR requirements, underlining the legal necessity of thorough impact assessments when deploying high-risk biometric AI systems.
Spanish airport operator Aena was fined EUR 10 million and ordered to suspend its biometric facial recognition boarding system operating in several major Spanish airports, including Madrid-Barajas and Barcelona-El Prat. The sanction was imposed by the Spanish Data Protection Agency (AEPD).
The facial recognition system was used for passenger identification and boarding, with nearly 40,000 travellers voluntarily enrolling in the scheme between 2023 and 2024.
The core of the incident, which occurred across airports like Madrid, Barcelona, and Menorca (with pilot schemes operating between at least 2019 and 2022/2024), was the failure to meet the requirements of the European Union's General Data Protection Regulation (GDPR).
This failure is seen to have directly violated the fundamental privacy rights of passengers, and created an inherent risk of unlawful processing, data misuse, or future data breaches.
The suspension of the system was warned by industry insiders to potentially lengthen security and boarding queues, causing disruption for travellers, especially during busy periods.
The AEPD's sanction was based on Aena's failure to conduct a valid Data Protection Impact Assessment (DPIA), as required under Article 35 of the GDPR for high-risk data processing like biometric identification.
Lack of necessity and proportionality: The AEPD found that Aena’s DPIA failed to demonstrate that collecting passengers' biometric data was strictly necessary or that less intrusive alternatives (such as digital tokens stored on passengers' own devices) were adequately explored.
Transparency and accountability limitations: Aena’s reliance on the system being voluntary and having data encrypted was not sufficient. The incident highlights a failure of corporate accountability to rigorously fulfill a formal, mandatory legal obligation (the DPIA) that serves as a cornerstone of the GDPR's "privacy by design" and "privacy by default" principles, especially when deploying a high-risk AI system. The absence of a valid DPIA demonstrates a serious lack of transparency and upfront risk analysis regarding the impact of the AI technology on user rights.
For passengers: The ruling confirms that even for 'voluntary' schemes promising convenience, the processing of biometric data is extremely high-risk and requires meticulous legal compliance.
For the travel industry: The AEPD's ruling sends a clear message that the desire to innovate and speed up processes cannot supersede fundamental data protection law. The immediate impact is the suspension of a service intended to speed up travel, potentially slowing down airport procedures until a compliant alternative is implemented.
For society: The AEPD's decision is a significant enforcement action that reinforces the strict regulatory scrutiny of biometric AI systems in the EU. It serves as a powerful precedent: regulatory compliance, particularly the robust performance of DPIAs, is non-negotiable for deploying high-risk AI technologies. This is highly relevant in the context of the EU's forthcoming AI Act, which classifies biometric identification systems as high-risk or even prohibited in certain public spaces. The incident underscores the role of independent Data Protection Authorities in upholding fundamental rights against technologically driven breaches.
Facial Recognition Pilot Programme
Developer: Aena
Country: Spain
Sector: Travel/hospitality
Purpose: Identify and board passengers
Technology: Facial recognition
Issue: Accountability; Privacy/surveillance; Transparency
EU General Data Protection Regulation
AIAAIC Repository ID: AIAAIC2137