Biometric Modalities for High-Security Remote Onboarding
Blog post from Didit
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High-security remote onboarding requires layered biometric verification rather than reliance on a single factor, with facial recognition, passive and active liveness detection, and 1:1 face matching presented as an effective combination for countering deepfakes, printed images, and video replays. Fingerprint, iris, retina, and voice biometrics each have strengths but face practical or security limitations in remote consumer-device environments, including hardware requirements and susceptibility to sophisticated spoofing. Didit promotes its modular AI-native platform as a solution that combines ID document verification through OCR, MRZ, and barcode scanning with liveness detection, face matching, and optional AML screening to tailor workflows to risk and compliance needs. The company cites iBeta Level 1 presentation-attack-detection certification, ISO 27001 certification, GDPR compliance, developer-oriented APIs, and a Free Core KYC offering as features intended to support secure and accessible identity verification.
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