Passkeys are the future of authentication. VerifEye makes them even better — adding uniqueness verification, age compliance, and account recovery that passkeys alone can’t provide.
They’re simple and easy to use
Can’t be stolen via fake sites
Nothing to remember or leak
Passkeys verify the device. But many use cases require verifying the human
One person can register multiple accounts on one device, or on many devices. Passkeys have no mechanism to detect the same individual behind multiple accounts. Multi-accounting, bonus abuse, and ban evasion are invisible to them.
Banks of phones or emulators can create accounts at scale using scripted PINs, no fingerprint or face scan required. FIDO2 can’t distinguish a real user from an automated script. Passkey-authenticated account creation at scale is invisible to passkey-based controls alone.
Once a user authenticates, the passkey’s job is done. It can’t detect if someone else picks up the device mid-session. A re-challenge only confirms the same device is present, not that the same person is holding it.
When a passkey is provisioned after KYC, the trust chain runs between the device and the server, not between the verified person and the server. Every subsequent login proves the device is present. It doesn’t prove the right person is holding it. Regulators under PSD3 and NIST 800-63 are now requiring that bridge.
There is no age in a cryptographic key. Passkeys cannot tell you whether the person authenticating is 16 or 60. For gambling, alcohol, adult content, and regulated financial products, this is a compliance gap with no passkey-native solution.
Lost device = lost access. Cloud sync helps, but it creates a new risk: a SIM swap or cloud account takeover pushes synced passkeys to an attacker’s device. Recovery proves the cloud account is accessible, not that you are who you say you are. You can’t lose a face.
Passkeys aren’t fully portable across Apple, Google, and Microsoft ecosystems yet. Switching platforms often forces re-enrollment or password fallback. For organizations migrating from SMS, the transition window is a live attack surface, weaker fallbacks are reinstated, creating a gap attackers actively exploit.
One lightweight integration adds everything passkeys are missing
One face = one account. VerifEye generates a mathematical embedding from facial features (not a photo) to detect when the same person registers multiple accounts, across any device or platform. Multi-accounting and bonus abuse, closed.
VerifEye distinguishes a real person from a photo, video replay, not just at login, but at any high-risk moment in a session. Large transfers, account changes, significant purchases: the right person is confirmed, not just the right device.
Passkeys end their work at login. VerifEye extends human assurance across the entire session, rechecking facial presence at configurable intervals. If the person behind the camera changes, the system detects it and can trigger a step-up challenge or close the session.
Passkeys confirm the device. VerifEye confirms the individual by binding each login to the identity verified at onboarding. Every subsequent authentication creates a verifiable thread back to the enrolled person. This is what FFIEC, FinCEN, and PSD3 now require: prove the person, not just the device.
Comply with age-gating regulations without collecting government IDs. The user glances at their camera, the system returns an age range, the platform makes its compliance decision, and the user’s anonymity is preserved throughout.
Lost device? Facial verification provides a reliable human-assurance anchor for recovery, without relying on SMS codes, email links, or security questions, each of which can be compromised independently. You can’t lose a face. Used as one factor in a multi-step recovery process, it raises the bar significantly.
Browser-based and server-side, VerifEye isn’t tied to any OS, credential manager, or platform. iOS or Android. Apple Keychain or Google Password Manager. During platform migrations, when passkey portability is still uneven facial verification holds the line. A face doesn’t change when someone switches phones.
From social platforms to gaming to e-commerce—VerifEye protects users and revenue in the moments that matter most.
Passkeys for daily transactions. VerifEye for high-value transfers, account recovery, and fraud prevention.
Stop promo abuse and return fraud. Verify unique humans for limited drops and high-value purchases.
Prevent multi-accounting, protect ranked integrity, and age-gate gambling features.
Build authentic communities. Prevent sockpuppeting. Verify demographic data for ad accuracy.
Passkeys verify the device. We verify the human.
| Capabilities | Passkeys | Passkey Plus |
|---|---|---|
| Phishing resistant | ||
| No Passwords | ||
| Fast Authentication | ||
| No App Install Required | ||
| + VerifEye Capabilities | ||
| Human Uniqueness Verification | ||
| Age Verification (No ID Required) | ||
| Account Recovery (Cross-Device) | ||
| Continuity of Control | ||
| Fraud Detection Signals |
Passkey Plus is the only solution that combines passkey convenience with true human verification, uniqueness, and compliance.
Start free add further capabilities as you need them
Starter
Free
per verification
Help your users adopt passkeys with zero friction
Standard
$0.05
per verification
Server-side face verification – better than SMS
Complete
$0.10
per verification
Full verification suite with compliance features
Already Using Okta, Auth0, or Microsoft?
VerifEye integrates seamlessly as an additional MFA option. Add it to your existing auth platform without migration. Your users choose their preferred method, we just make the best one available. Contact us for integration details.
No. VerifEye works alongside your passkeys, adding capabilities they don’t have. Use passkeys for login, VerifEye for verification.
VerifEye creates a mathematical embedding from a user’s face that proves uniqueness without storing photos. Same person = same embedding.
Photos are never stored. We extract a mathematical representation and delete the image in under 1 second. GDPR/CCPA compliant.
Fraud detection signals are patterns or inconsistencies in demographic and identity data that suggest an audience may be inaccurately represented, inauthentic, or non-compliant. They help organizations validate audience integrity, improve data quality, and reduce financial or regulatory risk.
Start free. Just add uniqueness, age, and fraud detection as you need them.
