# TruKYCOkta — Facial KYC Push Auth for Okta

> Facial KYC Push Auth for Okta (iPhone/iPad app by handsfree.ly.)

- Source: https://appshunter.io/ios/app/trukycokta/id6749552583 (this page in markdown: same URL + `.md`)
- Developer: [handsfree.ly](https://appshunter.io/developer/424538481)
- Category: Business, Utilities
- Price: Free
- Age rating: 4+
- Requires: iOS 15.6 · 34 MB
- Languages: American English
- Released: 2025-08-16
- Data updated: 2026-02-25
- User reviews in markdown: https://appshunter.io/ios/app/trukycokta/id6749552583/reviews.md

## What is TruKYCOkta?

TruKYCOkta integrates the TruKYC on-device identity verification SDK with Okta’s Identity Management platform.

TruKYC processes all identity verification steps directly on iOS devices — no cloud services are used — ensuring maximum privacy and security. The SDK is open source (search for “sanjaymk908 kyc-integrations” on GitHub).

Core Features
• Liveness detection to block deepfake, cloned, or printed photos, including images shown on screens.
• Deepfake detection to identify profile photos generated by AI cloning tools.
• ID scanning for U.S. driver licenses, state IDs, or passports to enable secure identity matching.

How It Works in This Demo:

1. Sign in to the app with an Okta-managed test credentials (github README has Okta configured test credentials)
2. Enroll your device for push authentication.
3. Access an Okta protected resource in your browser (sample URL in github README)
4. Receive a push notification to your enrolled device.
5. Complete the TruKYC facial authentication flow.
6. If testing Passkey + TruKYC auth factors, you will subsequently be prompted to setup a Passkey
7. Okta grants or denies access based on your device TruKYC results.

You can test Apple recommended Passkey usage with TruKYC (default app setting). Or switch to Password based auth factor testing.

This integration illustrates how enterprises can add a biometric, deepfake-resistant push authentication factor to Okta’s sign-in flows, reducing the risk of phishing and credential compromise.


## Version history (last 5 releases)

### 3.1 — 2026-02-24

Offload a large ML Model to reduce footprint by upto 90%

### 3.0 — 2026-02-17

1. Reduce app size by 20% by trimming unnecessary assets
2. Eliminate dup symbol warnings again from inherited framework dependencies

### 2.5 — 2025-12-07

Stability fixes for image capture (selfies and ID scans)

### 2.1 — 2025-11-05

- Expanded support for IDs from 100+ countries
- Fully offline, on-device processing
- Enhanced privacy features designed to align with ISO27001, SOC 2, GDPR & PDPA standards

### 2.0 — 2025-09-07

Passkey + TruKYC integration in Okta added

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-02-25.*