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Didit vs Keyless: verifying new users vs biometric login

Blog post from Didit

Aggregate trend data notice

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.

Post Details
Company
Date Published
Author
Didit
Word Count
2,425
Company Posts That Month
14
Language
English
Hacker News Points
-
Post removed?
No
Summary

Didit and PingOne Recognize, formerly Keyless, are presented as serving different stages of the identity lifecycle: Didit focuses on verifying unknown applicants during onboarding, while PingOne Recognize authenticates users who have already enrolled during login, step-up actions, and PSD2 payment authorization. Didit combines document verification, liveness detection, face matching, duplicate-face searches, device and IP analysis, government database checks, national eID integrations, AML screening, KYB, and transaction monitoring, with audit evidence and EU-based processing. Its published list price for a completed KYC bundle is $0.33, excluding optional compliance modules, whereas PingOne Recognize uses quote-based, user-oriented pricing without a public per-check rate. PingOne Recognize emphasizes zero-knowledge biometric verification, matching encrypted facial captures against enrolled identities without retaining retrievable biometric templates. The comparison argues that biometric authentication alone does not replace onboarding identity verification because onboarding requires document, sanctions, fraud, and duplicate-account evidence, and it outlines a phased approach for moving verification workflows to Didit through sandbox testing, data mapping, historical-record imports, and gradual traffic migration.

Trends Found in this Post
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