Multi-Factor Authentication (MFA) Software Resources

Daon supports multiple age verification methods: AI facial age estimation, document-based verification, data matching, and mDL age capture. The recommended deployment pattern is tiered orchestration rather than a single method. Facial age estimation handles the majority of transactions with low friction. When an estimated age falls within a configurable buffer zone near the threshold, or in situations where regulations require stronger methods, the workflow escalates to full document verification. This approach maximizes throughput for users who are clearly of age while maintaining defensible verification for borderline cases. The solution is COPPA-compliant and supports regulatory requirements across multiple jurisdictions.

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xProof supports mDL capture and data transfer per the ISO/IEC 18013-5 standard, which provides enhanced accuracy over OCR capture and increases the speed and simplicity of the IDV process. With mDLs support for selective disclosure, Daon can also process them for low friction, privacy-first age verification.

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Facial biometric capture in both xProof and xFace runs two simultaneous and independent defenses. Liveness detection, tested to ISO 30107-3 Levels 1 and 2, confirms the biometric sample comes from a live person at the capture point, defending against printed photos, video playback, masks, and other physical alterations presented to the camera. Injection attack detection defends against a separate and increasingly prevalent threat: synthetic media, including deepfakes, inserted directly into the data stream before it ever reaches the sensor. xProof also has watchlist capability to flag known bad actors and prevent multi-accounting.

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