Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
LinkedIn Identity Checks Show The New Privacy Cost Of Trust
Mar 4, 2026 | NCFA Fintech Market Insight | Regtech And Identity And Privacy
Identity Verification Privacy And Consent Risk
On Feb 16 2026, an interesting post at The Local Stack conducted a recent LinkedIn identity verification analysis via a real user experience of a larger fintech issue: modern identity checks now collect far more than most people expect, and the privacy tradeoff is becoming harder to ignore as regulated onboarding expands across financial services, platforms, and digital marketplaces.
Persona’s identity verification policy shows the scale of that collection. The policy lists government ID images, selfies, biometric information, NFC chip data, device data, geolocation, usage data, and checks against third party data sources. It also states that uploaded ID images may be used to train or improve the service, and that information may be shared with service providers, data partners, affiliates, and government authorities in some circumstances.
Three Things Fintech Leaders (and Consumers) Need To Know
1. Identity verification now reaches well beyond document review. A current verification flow can combine document capture, face matching, biometric analysis, device signals, location data, and external database checks in one session. That means the onboarding event is no longer just a fraud control. It is a multi layer data collection workflow that carries legal, operational, and reputational risk.
2. The trust layer often sits with a specialist vendor, not the brand the user sees. A customer may think they are verifying with LinkedIn, a bank, or a fintech app. In practice, the verification is often run by a third party with its own privacy terms, data sources, subcontractors, retention rules, and model improvement rights. That gap between front end trust and back end processing is where privacy friction starts.
See: AI Governance Gaps Exposed By Legal Leaders
3. Privacy design now affects conversion. When users feel overexposed, abandonment risk rises. Firms that explain what's collected, why it's needed, who processes it, and how long it's kept are more likely to keep trust intact through onboarding. In identity verification, transparency is becoming part of product design.
Trust First Onboarding Design
Map every data field in the verification flow, not just the front end prompts. Disclose which vendor runs the check and what that vendor can do with the data. Remove optional collection that doesn't improve the actual risk decision. Review training, retention, and subcontractor clauses in vendor contracts. Put the plain language explanation before the scan starts, not after the user has already submitted a passport and selfie.
These steps become more important as Canada moves toward broader data portability and consumer directed finance. NCFA has already covered the wider privacy backdrop in North America privacy trends and the policy direction in CSA data portability consultation. Canada’s consumer-driven banking framework and the Consumer-Driven Banking Act push the market toward safer, permissioned data sharing. As that framework matures, identity credentials may become more reusable across providers, which could reduce repeated document collection while increasing pressure for stricter consent controls, narrower data use, and clearer liability when verification vendors sit in the middle.
Where This Is Heading
Identity verification is moving from a hidden compliance step to a visible trust product. More onboarding flows will combine biometrics, device intelligence, and third party data. More enterprise buyers will ask whether vendors can use customer data to improve models. More regulators will look at whether the scope of collection matches the actual risk being assessed. The firms that win will not be the ones that collect the most data. They will be the ones that collect the least data needed to deliver a defensible result.
Talking Point
When identity checks collect more than most users expect, do the firms with the clearest privacy design earn more trust than the firms with the most aggressive control stack?
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