Zipwire Documentation
Visit Zipwire
  • ๐Ÿ‘‹Welcome to Zipwire
  • Overview
    • ๐Ÿ’กWhat is it?
    • ๐Ÿ™‹โ€โ™€๏ธWho can use it?
    • โœจOur Features
    • ๐Ÿš—Can I test drive it?
      • ๐Ÿ“ฆSetting up Zipwire Approve
      • ๐Ÿ“ฅSetting up Zipwire Collect
    • ๐Ÿ”‘Logins & Invitations
    • ๐ŸขZipwire Collect: Rapid Onboarding, Effortless Compliance
    • ๐Ÿ’พData Ownership in Zipwire
  • Zipwire Approve
    • ๐Ÿ…How Zipwire Approve is radically different and speeds up pay day
    • โ›”Why we don't track start and end times
    • ๐Ÿ“ฆUnboxing key concepts
      • ๐Ÿ“œAccounts
      • โฒ๏ธTimesheets
      • ๐Ÿ‘ทSenders
      • ๐ŸšฆApprovers
      • ๐Ÿ‘‘Processors
      • โคต๏ธWorkflows
      • ๐Ÿท๏ธAssignments
      • ๐Ÿ“Billing Plans
      • ๐Ÿ’ฑRate Plans
      • ๐Ÿ“ฌTeams & Inboxes
      • ๐ŸขWorkplaces
      • ๐Ÿ›ก๏ธClients
      • โœ๏ธThe Journal
      • ๐ŸคธActivities
      • ๐Ÿ’ธPayment Methods
    • ๐Ÿ”ฒLogical structure
    • ๐Ÿ› ๏ธSet up your workplace
    • ๐ŸšฅProcessing stages
    • ๐Ÿ’ตUnderstanding invoicing
    • ๐Ÿท๏ธUsing assignments
      • ๐Ÿ–๏ธHoliday assignment
  • Zipwire Collect
    • ๐Ÿ—„๏ธEffortless Document Collection for Any Need
    • ๐ŸŸขGet Started
    • ๐Ÿ˜ญIDSP, IDVT, KYC, KYB and AML
      • ๐ŸคณSelfie Checks Powered by Yoti
      • โ›“๏ธBlockchain Attestations
    • ๐Ÿ“„Using Packs
    • ๐Ÿค–Machine Vision
      • ๐ŸคทFailure to Recognise
      • ๐ŸชชDocument Types
    • โœ๏ธManual Entry for Streamlined Information Gathering
    • โœจCreating a Collection with AI
    • ๐Ÿ‘€What the Respondent Sees at Their End
    • โ™ป๏ธLifecycle of a Collection
    • ๐ŸššBulk Upload
    • ๐Ÿ”Document Inspection
  • Fundamentals
    • ๐Ÿ›ก๏ธSecurity
      • ๐Ÿ“ฒAuthenticator mobile apps
      • ๐Ÿ”Two factor in Zipwire
      • Wallet Connections
      • Sign-in with Ethereum
      • Attestations
        • The "IsAHuman" Attestation: Purpose and Limitations
        • The "Private Data" Attestation: Merkle Roots
        • Zipwireโ€™s Master Attester Wallet Address and Public Key
      • Wallet Verification Guide
        • Introduction to Sleeper Wallets and Blockchain Legends
        • How Sleeper Wallets Are Created
        • Verifying Attested Wallets
        • The Market for Selling and Buying Attested Wallets
        • Holistic Evaluation of Ethereum Wallets
        • The Future of Attestations and Wallet Verification
        • Verifying Zipwireโ€™s Merkle Root Attestations for Developers
      • Understanding Merkle Trees and Proofs
  • Use Cases
    • ๐ŸŽญIdentity Checks - Right to Work
    • ๐ŸชชCompliance - Know Your Customer
    • ๐ŸŽจFor Senders
      • ๐Ÿ’ฌSending journal updates via WhatsApp
      • ๐Ÿคธโ€โ™‚๏ธNaming activities
      • โœ๏ธTracking time in your Journal
      • โฒ๏ธSend your first timesheet
    • ๐Ÿ“ฑTracking time via WhatsApp
    • ๐Ÿ–ฅ๏ธFor Approvers
      • ๐Ÿ’ฌApproving timesheets via WhatsApp
  • Troubleshooting
    • ๐Ÿ”€Tangled Identities
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On this page
  • Defeating Spoof Attacks with Liveness Detection
  • Unbiased and Inclusive
  • How It Works
  1. Zipwire Collect
  2. IDSP, IDVT, KYC, KYB and AML

Selfie Checks Powered by Yoti

Introducing our trusted IDSP and technology provider, Yoti.

PreviousIDSP, IDVT, KYC, KYB and AMLNextBlockchain Attestations

Last updated 11 months ago

Zipwire has selected Yoti, a leading identity verification provider, to offer secure and accurate "Selfie Checks" as part of our identity verification process. Yoti's industry-leading liveness detection technology helps prevent fraud and ensures you are dealing with a real person during verification.

Defeating Spoof Attacks with Liveness Detection

Liveness detection is a critical component of identity verification to protect against spoofing attacks where someone attempts to bypass checks using a photo, video, mask or other artifact. Yoti's MyFace liveness solution achieves NIST Level 2 certification with 100% attack detection against:

  • Paper photos

  • Masks

  • Screen photos/videos

  • Deepfake videos

  • Injection attacks

  • Bot attacks

Yoti's passive liveness approach analyses many cues and subtle traits to validate the presence of a live human without requiring explicit user actions.

Unbiased and Inclusive

Yoti's liveness technology minimizes demographic bias related to age, gender, and skin tone to ensure a fair and accurate verification experience for all users.

How It Works

During a Selfie Check, your respondent is prompted to capture a live selfie video. Yoti will analyze this video using advanced AI to validate liveness and match their selfie to an ID document that is also captured.

Optionally, AML checks can be conducted on the respondent. All processing happens seamlessly in the background and a detailed report with recommendations is made available in Zipwire Collect.

By partnering with Yoti, Zipwire can confidently verify a person's identity while preventing fraudulent spoofing attempts - protecting both you and our platform.

For more details on Yoti's liveness detection capabilities, refer to on liveness detection.

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Building the world's trusted identity platform โ€ข YotiYoti
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