Advanced Face Search (1:N) with Didit's JS SDK
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.
Didit offers an AI-native identity verification platform that helps businesses combat fraud through its advanced 1:N Face Search technology, which compares new user biometrics against a database of verified identities to detect duplicate accounts and blocklisted individuals in real-time. This capability is seamlessly integrated into web applications using Didit's JavaScript SDK, allowing for straightforward implementation. The platform also provides configurable security thresholds, enabling businesses to tailor the sensitivity of facial recognition to balance security needs with user experience. Didit's modular architecture and free core KYC make it accessible for companies to deploy biometric fraud prevention without setup fees. The technology finds applications across various sectors, such as financial services, e-commerce, and telecommunications, by enhancing security, reducing fraud, improving compliance, and streamlining user verification processes.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 1 | 13,979 | 3,441 | 296 | +113% |
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