Spam
Prevent phishing attempts, automated content, and other malicious comments.
Block spam and fraud. Protect your community with Liveness Detection.
Prove users are real the moment they take an action with a hand motion check on their device. It’s simple, quick, and private: 100% processed on-device, without gathering sensitive user information or registering accounts.
Three steps to a spam-free platform
Use Liveness Detection to stop…
Bot attacks
Shut down large-scale unauthorized activity and brute-force credential cracking.
Fraud
Ensure that transactions are done by real people, not bots, and cut back on scalping.
…and more.
How Liveness Detection compares
| Features | Liveness Detection from Very | CAPTCHA | PIN code |
|---|---|---|---|
| What it is | Hand motion check | Puzzle-solving | Password |
| What it proves | A person is present | A browser behaved plausibly | PIN code is known by person or agent |
| Privacy | No data collected, only pass or fail sent | Collects device and browser data | No data collected |
| Vulnerability | Hard to spoof with generative video | Can be solved by AI 100% of the time (1) | Can be stolen or lost |
The simple way to keep your communities real
User Verification
Confirm that the user who registered an account is the one taking an action.
Know Your Agent
Make sure agents are acting on behalf of a genuine user.
VeryBot
Block bots and spam by gating your chatrooms and servers to real people.
Frequently asked questions
Liveness Detection costs $0.03 per check, with discounts available for large volumes and enterprise. Learn more on our pricing page.
No. Liveness Detection only checks that a user is a real person, not that they are unique or if they have multiple accounts. For uses where one user should have a single account, like fintech or reward gating, use User Verification.
If a user cannot complete a hand motion check, Very sends a fail state to the platform. Depending on how a customer sets it up on the back end, a user may be blocked for a certain amount of time or prompted to try again.
Very works with outside researchers (like the Human-AI Collaboration Lab, located at Northwestern University) to stay ahead of the latest advances.
Very introduces a number of protections against spoofed or deepfake results, including: randomized motion checks, camera-frame analysis, checks for issues like palm positioning, lighting, blurriness, and more, server-issued protections like one-time nonces to protect against replay, and others.
Yes, Liveness Detection can work on both mobile and desktop. On mobile, it can be used for more than 85% of the worldwide smartphone market. On desktop, Liveness Detection uses the built-in or available web camera.
Liveness Detection does not:
- • Share biometric data. Platforms only receive a pass or fail.
- • Verify uniqueness. Liveness Detection does not compare a palm against a registered model and specific account.
To verify uniqueness and secure specific accounts, you should use Very’s User Verification.
Stop bots and clean up your platform in hours
Book your introductory call to start your integration.