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Jamf Connect VS PXL Vision

Compare Jamf Connect VS PXL Vision and see what are their differences

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Jamf Connect logo Jamf Connect

Jamf Connect is a Mac authentication Streamlining and identity management platform that helps organizations manage Apple devices, authorize access, and streamline the overall user experience.

PXL Vision logo PXL Vision

PXL Vision is a digital identity verification platform that enables organizations to digitally verify a person’s identity instantly and cost-effectively, without requiring users to download any additional software or hardware.
  • Jamf Connect Landing page
    Landing page //
    2022-10-30
  • PXL Vision Landing page
    Landing page //
    2023-08-05

Jamf Connect videos

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Jamf Connect Overview

More videos:

  • Demo - Almost Zero Touch Mac Deployment using Jamf Connect and Azure- University of San Diego Demo
  • Review - Lessons Learned from a Jamf Connect Deployment | JNUC 2023

PXL Vision videos

No PXL Vision videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Jamf Connect and PXL Vision)

Jamf Connect

PXL Vision

Security & Privacy
53 53%
Security & Privacy
47% 47
Identity And Access Management
55 55%
Identity And Access Management
45% 45
Web Security
53 53%
Web Security
47% 47
Cyber Security
50 50%
Cyber Security
50% 50

User comments

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What are some alternatives?

When comparing Jamf Connect and PXL Vision, you can also consider the following products

Mitek Mobile Verify - Mitek Mobile Verify is an Identity verification solution that delivers I.D.

IDology - IDology offers real-time and on-demand identity verification and fraud prevention solutions.

Veriff - Smart and scalable identity verification.

AU10TIX - AU10TIX provides solutions for automating ID document authentication, validation and conversion to workable digital records. 

Yoti - A simple, secure way to store and prove your identity

iProov - iProov is a biometric identity authentication platform that can be used to verify proof of identity at multiple touchpoints using face, finger, and voice biometrics.

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