Data Minimization in Biometric Capture for Mobile SDKs
Blog post from Didit
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Biometric mobile SDKs can protect privacy while maintaining effective identity verification by collecting only essential data, processing biometric features locally where possible, encrypting data during transmission and storage, and enforcing strict, configurable retention and deletion policies. The material emphasizes that retaining feature vectors, verification results, and necessary audit records rather than raw facial images, video, or document scans can reduce breach risk and support compliance with regulations such as GDPR and emerging EU AI rules. It presents Didit’s modular identity-verification platform, including liveness detection, face matching, and OCR, as an example of this approach, citing on-device processing, regional data handling, role-based controls, TLS 1.3 and AES-256 encryption, configurable retention, ISO 27001 certification, and iBeta Level 1 presentation-attack detection certification.
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