Building a Fraud-Resistant Onboarding Funnel: UX and Security
Blog post from Didit
Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.
Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.
This company's pages remain public, but its content is excluded from normalized aggregate trends. Unfiltered raw trends and advanced filtering are available to Accelerate and Lead accounts.
A fraud-resistant onboarding funnel seeks to prevent identity fraud, account takeovers, and other threats while minimizing friction that can cause legitimate users to abandon registration. Effective approaches combine KYC and KYB identity checks, including document authentication, biometric liveness and facial matching, address verification, and screening against sanctions, watchlists, and adverse media, with real-time fraud signals such as device fingerprinting, behavioral biometrics, velocity checks, and proxy or VPN detection. User experience can be preserved through mobile-first design, clear guidance, progressive profiling, automation, and conditional workflows that apply additional scrutiny only when risk indicators warrant it. The text presents Didit as a modular identity and fraud infrastructure platform that provides access to more than 1,000 data sources through one API, supports rapid integration, pay-per-use pricing, and configurable verification tools, while helping organizations meet AML and CTF compliance obligations through auditable checks and security certifications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 2 | 6,055 | 1,444 | 270 | -11% |
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