WebAssembly & Biometrics: Secure On-Device Processing (1)
Blog post from Didit
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WebAssembly enables biometric authentication algorithms for fingerprints, facial recognition, and voiceprints to run locally in browsers and edge devices at near-native speeds, reducing the need to send sensitive raw data to remote servers. Its portability, compact binary format, sandboxing, and support for languages such as C++, Rust, Go, and C make it suited to cross-platform biometric applications, while SIMD capabilities can accelerate computationally intensive tasks like feature matching and facial analysis. Effective implementations compile an appropriate algorithm into a Wasm module, integrate it into an application, and protect locally handled data through encryption, secure storage, tamper detection, and device attestation. The approach emphasizes storing encrypted biometric templates rather than raw images or recordings, though additional safeguards remain necessary despite Wasm’s sandboxing. Didit presents its Wasm-based identity platform as a modular service for integrating on-device face, fingerprint, or voice verification with reduced latency, lower server load, and ongoing security updates.
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