One account per person, whatever the email.
Sign-up risk score
Passive signals
A selfie for everyone costs you good users.Signals clear most of them first.
Signals read the device and network around every visit, with no selfie, and keep each person's history, so an anonymous HumanCheck runs only for the ones that look risky.
The problem
One signal clears most people. It also clears most fraud.
- Every visit, every timeSelfie requiredSelfieSelfieSelfieSelfie
Good users feel like suspects
A selfie check on every visit adds friction for the people who were never going to commit fraud in the first place.
- Day 1Day 4Day 9Same person, 3 devices
A new device looks like a new person
Fraud rings rotate emails and devices fast enough that one snapshot in time can't tell a returning risk from someone brand new.
- No history connects them?YYesterdayCleanTTodayElevated
Risk with no memory
Without a history, the same account can look clean today and risky tomorrow, with nothing connecting the two visits.
How it works
Signals first, a selfie only when it's needed
01
Signals run on every visit
Over 350 passive signals read the device and network around each person on every visit, with no selfie.
02
An anonymous HumanCheck only for the risky
An anonymous HumanCheck is reserved for the sessions the signals flag, so most people pass through without ever seeing it.
03
A history that outlasts one visit
Every visit adds to the same person's history, so risk that builds up over weeks still shows.
The platform
Two more checks, once a signal fires.
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 do the passive signals actually read?
Signals run in the background on every visit, covering things like IP address, VPN and data center traffic, device details and typing patterns. None of it needs a selfie. Every check reads over 80 active and over 350 passive signals in all.
How does the trust score work?
Everyone starts at 100, and signals from the check deduct from it. On Insights, sessions sort into Low, Moderate, Elevated and High, grouped by what fired, and your settings decide where the line sits.
How does the history build over time?
Every visit adds to the same person's history, so a device that passed last week carries that record into this week's check. A pattern across visits catches fraud a single moment can miss.
Would we ever run a check on everyone instead of just the risky ones?
That's your call. Passive signals can run alone, or you can require an anonymous HumanCheck for everyone instead of only the ones the signals flag. Starting with risky-only keeps friction lowest, and you can change it anytime.
What happens with false positives?
A flagged session doesn't have to mean a block. In Workflows you decide the outcome: ask for an anonymous HumanCheck of about 3 seconds, or hold it for your team to review.
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 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.
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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.
