One account per person, whatever the email.
Ban check at sign-up
Trust and safety
Banned Monday under one name.Flagged again Friday under a new one.
Every account gets scored in the background. The risky ones also get a 3 second, anonymous selfie, and a banned face gets matched the moment it tries again.
The problem
The bans that don't stick
- New emailNew phoneNew deviceSame banned face
The comeback account
A banned member returns within the hour with a new email, phone and device, and the old check doesn't catch it.
- No live checkSignup checkIDID documentAI-generatedPassedPHPhone numberBurnerPassed
The manufactured signup
Burner numbers and AI-generated documents pass a signup check that was never looking for a face.
- Platform APlatform BYour sign-upFlagged elsewhere
Banned somewhere else first
A scammer removed from another platform signs up with you, and nothing on your side knows them.
How it works
Bans that stick to the person
01
Passive signals score every session
Network, device and behavior signals run in the background and build a history for each new account, so a farmed number or an emulator stands out before anyone looks.
02
Risky sign-ups take an anonymous check
An anonymous HumanCheck, a 3 second selfie, confirms a live, unique person is behind the new account. Good sign-ups never see it.
03
The flag names the account you banned
If the face matches one already on your ban list, the new account is blocked and the flag points straight at the old one, whatever email or device it arrived on.
Risk signals
IPIP addressResidential
TYTypingSteady
DVDeviceEmulator
New account
91acct_2291Created Oct 12
Emaila•••@proton.me
Phone+1 ••• ••• 0142
DevicePixel 8
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
What happens when someone we banned signs up again?
Their face matches the record already on file, and the flag names the old account, even with a new email, phone or device.
Can it tell us a review is genuine?
It tells you a live, unique person wrote it and holds one account. Whether they bought the product, or meant what they wrote, is still for your own review rules.
What if a match is a judgment call?
Set the outcome to Allow and flag. The member gets in, the match is raised for your team, and the decision stays with a person.
What if they were banned on another platform first?
If a person has been flagged elsewhere in our network, you get an anonymous signal. We never say which platform.
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
The Treadmill Problem in Trust and Safety
Bot detection resets every quarter, but confirming a real person holds in perpetuity.
Read the post
Blog
The Ban Evader's Playbook: Why 90% Get Away With It
Reddit's most sophisticated ban evasion tool misses 90% of them.
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.
