How it Works
Human Challenge displays a button that users “press and hold” while it makes a bot-or-not decision. It is the only ADA, WCAG 2.2, and privacy compliant CAPTCHA and is available in 27 languages out-of-the-box.


Detect and challenge
HUMAN’s decision engine collects information on every interaction, automatically serving the Human Challenge when behavior that deviates from the normal human range is detected.

Collect
While the user completes the “press and hold,” Human Challenge tests the user’s device to solve proof-of-work challenges and collects additional signals.

Enforce
Once the “press and hold” is completed, humans are allowed to seamlessly continue to the application, while bots are prevented from continuing.

Learn
Data from successful and failed challenge solve attempts are fed back into the system, dynamically adjusting the detection on the application.
HUMAN in Action
Belk Blocks Account Takeover Attacks and Gift Card Abuse
Belk, a U.S. e-commerce retailer, uses HUMAN to block bot attacks while preserving their buyer experience, keeping transactions flowing freely, and saving time for their busy security team.
90% reduction
in server load during attacks
95% decrease
in investigation time
Read Case Study
Not only has HUMAN been invaluable at stopping automated bot attacks and helping us improve server performance, but it has also provided significant benefit to my security team, enabling them to spend far less time dealing with malicious bots and instead focus on other business critical areas.
CIO

Why HUMAN
HUMAN’s visibility generates unique telemetry data at every touchpoint
along the customer journey to protect your most critical attack surfaces.
along the customer journey to protect your most critical attack surfaces.

Scale
We verify more than 20 trillion digital interactions weekly across 3 billion unique devices, the world's largest threat network, providing unrivaled threat telemetry.

Speed
Our Decision Engine examines 2,500+ signals per interaction, connecting disparate data to detect anomalies in mere milliseconds.

Decision Precision
Signals from across the customer journey are analyzed by 400+ algorithms and adaptive machine learning models to enable high-fidelity decisioning.







