Version history
TruKYCOkta
33
ASO score
Text
37/100
Reviews
0/100
Graphic
60/100
Other
0/100
App Rating
Votes
App Age
4m 7d
Last Update
Dec 07, 2025
Compare with Category Top Apps
|
Metrics
|
Current App
|
Category Top Average
|
Difference
|
|---|---|---|---|
|
Rating
|
0
|
4.46
|
|
|
Number of Ratings (Voted)
|
0
|
474.2K
|
|
|
App Age
|
0y 4m
|
6y 2m
|
-94%
|
|
In-app Purchases Price
|
$0
|
$34
|
|
|
Update Frequency
|
60d
|
38d
|
+59%
|
|
Title Length
|
10
|
25
|
-60%
|
|
Subtitle Length
|
29
|
27
|
+7%
|
|
Description Length
|
1 499
|
2 559
|
-41%
|
|
Number of Screenshots
|
273
|
1002
|
-73
%
|
|
Size
|
140MB
|
171MB
|
-18
%
|
Category Ranking in United States
7 days
Last 7 days
Last 30 days
Last 90 days
Last 180 days
Last year
| Top | Dec 15, 2025 | Dec 22, 2025 |
|---|---|---|
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No results were found!
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| Top | Dec 15, 2025 | Dec 22, 2025 |
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No results were found!
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| Top | Dec 15, 2025 | Dec 22, 2025 |
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No results were found!
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| Top | Dec 15, 2025 | Dec 22, 2025 |
|---|---|---|
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No results were found!
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Ranking Keywords in United States
| Keywords | App Rank |
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Analyze this and other apps using Asolytics tools
Text ASO
Title
(
Characters:
10
of 30
)
TruKYCOkta
Subtitle
(
Characters:
29
of 30
)
Facial KYC Push Auth for Okta
Description
(
Characters:
1499
of 4000
)
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.}
Read more
Other
Additional Information
Version history
2.5
Dec 07, 2025
Stability fixes for image capture (selfies and ID scans)
2.1
Nov 05, 2025
- 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