Check the person again when the money moves.
Re-check at payout
Reverification
An account changes hands on a Tuesday.The next check meets a different face.
History builds on an account automatically, visit after visit. If signals flag risk, or you choose to ask, a 3 second, anonymous selfie runs again to confirm the same person still holds it.
The problem
The account stayed. Did the person?
- Different faceSignupToday
The sold login
A worker passes the first check, then sells the account, and the face at the next check belongs to someone else.
- Day-one checkIDSignupID checkPassedW3Week 3TasksNot checkedW6Week 6PayoutNot checkedChecked once
The day-one check
Your ID check proved a document when the account opened, and nothing looks at the person again before the payout.
- One accountVerified, Mar 3Signed in, Oct 12Two faces, one login
The shared household account
A parent's verified account gets handed to a kid or a partner, and the login looks the same to everyone but the check.
How it works
Did the person stay, or just the login?
01
Passive signals score every session
Network, device and behavior signals run in the background on every visit and build a history: past checks, known devices and how the account has been used.
02
A risky moment takes an anonymous check
An anonymous HumanCheck, a 3 second selfie, compares the face at the camera with the one from the first check. A match passes in seconds.
03
The re-check runs where it matters
A payout, a new task or a change to account details, when signals flag risk or you choose. A mismatch can hold the next step until your team looks.
Account
Sam K.acct_1042
VerifiedYes
SinceMar 3
Visits41
The platform
Passive defenses first, proof of human when it counts.
A solution for every scenario
Let's talk trust
Start with a free pilot: see what the check catches on your own users, with no dev work to begin.
With tools like VerifyYou, AI becomes a force for good. It helps prevent AI-driven fraud and can be done with much lower friction than what we built over the years.
Built by humans from
- Quora
- Square
- Gusto
- Cohere Health
- Accenture
Security
Privacy and security in every decision
We keep a face code, not the photo, and hold it under SOC 2 Type II and ISO 27001:2022 compliant controls.
No images stored. VerifyYou does not store images.
No ID or documents. HumanCheck anonymously confirms there is a real, live, unique person, with no name or ID.
A face code, not a photo. We treat it as sensitive biometric data.
SOC 2 Type II
ISO 27001:2022
ISO/IEC 30107-3 PAD Level 1 & 2
GDPR compliant
Common questions
We already run an ID check. Why check again?
An ID check proves a document on day one. A rented or resold account starts after that, with the same login and a different person behind it. Reverification checks the face later, with no documents, in about 3 seconds.
Does the person take a selfie every time?
No. Turn on Skip check on known devices and someone returning inside your window passes without a new selfie.
Can it catch a login that's been resold or handed off?
Yes. The face at the next check is compared against the one from the first check, so a different person at the camera shows up as a mismatch, whatever the login or the story behind it.
What if two people genuinely share one account?
Reverification shows a different face at the next check either way. Whether shared access is allowed is your own policy call; the check just tells you how many faces have used the account.
Do you store photos of our users?
No. We keep a face code, not your users' images.
How much work is it to add?
It's two API calls: one to start the check and one to read the result.
Do we have to replace our KYC or bot tools?
No. It sits on top of your stack, so you keep your KYC and bot tools.
What does it cost?
It's 50 to 100 times cheaper than KYC. You pay per check, and nobody uploads an ID document.
Resources
Keep learning
Blog
AI Data Labeling Taught Us That Verification Cadence Is Everything
Anyone can add a single check at signup. The platforms protecting a training set need verification that bends to the use case and stays strict on what matters.
Read the post
Blog
The People Training Your AI Might Be the Same Person
Inside the shadow market where verified accounts sell for $300 and one annotator becomes forty
Read the post
Blog
The Best Human Verification Platforms in 2026
Human verification covers four different product categories that solve four different problems. This guide separates them, compares what each one confirms, and shows which published prices vendors actually disclose.
Read the post
Ready to get started?
VerifyYou scales trust: passive signals on every session, a face check only when risk calls for it.
