Banned users stay banned.
Banned-account list
Review and case management
Flags scattered across tools get missed.Your team works them from one list.
Passive signals and an anonymous HumanCheck do the sorting, and only the accounts they flag reach your team to tag, batch and schedule for a re-check.
The problem
A flag here, a hold there. No one list connects them.
- No single listPayments•1 flagSupport•1 flagSign-ups•1 flag
Flags scattered across tools
A flagged account here, a payout hold there: there's no one list of who actually needs a person's attention.
Re-checks fall through the cracks
Without a schedule, a risky account that should be checked again in a month just doesn't get checked.
- Four accounts, four separate reviews
No way to work risk in bulk
One-by-one review doesn't scale once there's more than a handful of flags a day.
How it works
Only what needs a person reaches your team
01
Passive signals score everyone
Every visit builds a risk history in the background, so your team isn't starting from zero when something gets flagged.
02
An anonymous HumanCheck narrows the list
Only the accounts the signals or an anonymous HumanCheck actually flagged reach your team, not everyone.
03
Your team works the queue
Tag what needs a look, batch it, and schedule a re-check for later, all from one list.
Every visit
HRisk historyBuilding
QYour queueNothing yet
The platform
What lands in the queue.
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 actually lands in the queue?
Only the accounts your signals or an anonymous HumanCheck flagged, not your whole user base. Each one shows up with its trust score, the signals that fired, and every check it's taken.
What does tagging and batching do?
Tagging marks an account with the reason it needs a look, like a payout risk, and batching groups similar accounts so your team can work through them together instead of one at a time.
How does re-verify scheduling work?
You set an account to come back for another anonymous HumanCheck after a set time, such as in a month, instead of relying on someone remembering to check it later.
What do Insights and Activity actually show?
Activity is one row per person, with their trust score, signals, flags and every check they've taken. Insights shows volume, liveness pass rate and elevated risk over a period, so a spike reads differently from a trend.
Does this replace the case-management tool we already use?
It doesn't have to. Flags and export let you pull the people who need attention into a tool you already run, or your team can work the queue here. Either way, you only look at what the checks flagged.
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.
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 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
Blog
Sybil Attacks in AI Data Labeling: How Platforms Prevent Them in 2026
How one person running many annotator accounts distorts training data, how the major labeling platforms defend against it today, and how the tools built to stop it compare.
Read the post
Blog
The Most Expensive Part of an Odyssey Ticket Is the Missing Verification
The Odyssey sold out every IMAX 70mm screening in New York, and the resale chaos that followed shows what happens when scarcity meets anonymity.
Read the post
Ready to get started?
VerifyYou scales trust: passive signals on every session, a face check only when risk calls for it.
