Biometric Consent Management: GDPR Best Practices
Blog post from Didit
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Under the GDPR, biometric data is classified as a special category of personal data, requiring explicit, informed, and freely given consent for processing. Organizations using biometric technologies like facial recognition must adhere to stringent requirements, including transparency, data minimization, and robust security measures, to protect user privacy and comply with GDPR. Consent must be specific and unambiguous, with users fully understanding the purpose of data collection, its storage, and access details. Didit's AI-native identity platform assists businesses in achieving compliance by offering modular biometric solutions and configurable workflows. These solutions include Passive & Active Liveness and 1:1 Face Match, designed to ensure data protection and user empowerment. By incorporating privacy by design, clear audit trails, and an adaptable Management API, Didit facilitates the exercise of data subject rights such as access, rectification, and erasure, while enabling organizations to manage biometric consent effectively and build user trust.
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