Zero-Retention Biometrics: The Future of Privacy-Preserving Identity
Blog post from Didit
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Zero-retention biometrics is an identity-verification approach that processes facial, fingerprint, or other biometric data without permanently storing raw data or reusable templates, aiming to reduce exposure to breaches and support data-minimization requirements under regulations such as GDPR, CCPA, and HIPAA. It relies on privacy-enhancing cryptography, including homomorphic encryption, which enables biometric comparisons while data remains encrypted, and secure multi-party computation, which distributes data and processing among parties or servers so that no single participant can reconstruct the underlying biometric information. The approach is presented as suitable for security-sensitive sectors including financial services, healthcare, and government, and can be paired with liveness detection to identify spoofing or deepfake attempts without retaining captured images or video. Didit is cited as an example of a provider that processes biometric information temporarily in memory and returns only verification outcomes, such as match or liveness results, while claiming high liveness-detection accuracy and privacy-by-design identity verification.
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