Engineering articles
5 articles
Face Verification API vs Traditional KYC: Why Enterprise Teams Are Switching
Manual review queues, inconsistent outcomes, and 48-hour turnarounds are costing you conversions and exposing you to fraud. A detailed breakdown of where modern face verification APIs outperform legacy KYC — and how to phase the migration.
Liveness Detection Deep Dive: ISO 30107-3, APCER, BPCER, and Architecture Patterns
A technical breakdown of passive and active liveness, the ISO 30107-3 PAD standard, deepfake injection defences, and the architecture patterns for deploying liveness at enterprise scale.
What is face liveness detection and why does it matter for KYC?
Presentation attacks — photos, videos, and 3D masks held up to a camera — are the most common way identity verification is spoofed. Liveness detection is the layer that stops them.
Integrating Face Recognition into Enterprise IAM: Zero Trust and NIST AAL Patterns
A systems architecture guide for identity and engineering teams adding face recognition to enterprise IAM stacks — covering NIST AAL alignment, Zero Trust integration, enrollment architecture, and the model-update migration problem.
Understanding face recognition accuracy: TAR, FAR, and what they mean in production
Vendors quote face recognition accuracy as a single percentage. That number tells you almost nothing without context. Here's how to read accuracy claims — and what questions to ask.
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