Latest from the Didit blog.
How Does Liveness Detection Work? Active vs Passive
Liveness detection confirms the person in a camera frame is real and present — not a photo, mask, or deepfake. Passive and active liveness compared: how each works, what attacks each stops, and Didit's iBeta Level 1 PAD.
FinCEN Beneficial Ownership Rules in 2026: Impact on KYB Programs
The US beneficial ownership information framework requires companies to report who owns and controls them. Here is what the 25% threshold and substantial-control test mean — and how automated UBO extraction helps.
Identity Verification for the Gig Economy: Stop ID Renting & Fraud
Account renting, ID substitution, and worker impersonation are the defining fraud vectors on gig and delivery platforms. Here's how liveness, face match, and 1:N face search stop them at onboarding and beyond.
AML Watchlist Screening: The Definitive 2026 Guide
AML watchlist screening checks individuals and entities against 1,300+ sanctions lists, PEP registries, and adverse-media sources. Learn how two-score matching, false-positive handling, and daily rescreening work in practice.
Age Verification Laws in 2026: A Global Compliance Guide
Age verification laws are tightening worldwide — UK Online Safety Act, EU Digital Services Act, US state laws, Australia, and app-store mandates all demand action.
Document Fraud Detection: Techniques That Actually Work
Document fraud is evolving from edited PDFs to AI-generated IDs. Learn the forgery types that matter and the detection signals that catch them — MRZ checksums, NFC authentication, and 200+ fraud signals.