Why an image CAPTCHA is a bad trade
A classic CAPTCHA makes the user decipher images or pick out traffic lights. The result cuts both ways: real people abandon the form, which is a direct loss of enquiries, while modern bots get past it anyway through recognition or solving services. You lose customers and gain almost nothing in protection.
How invisible protection works
Instead of puzzles, it evaluates the signals of a live human in the background:
- •Behaviour: how the cursor moves, how and how fast the form is filled in,
- •Browser fingerprint: whether the device and environment parameters are consistent,
- •Request frequency and pattern: whether this looks like an automated run,
- •IP reputation and signs of automation.
What it covers
| Threat | Result |
|---|---|
| Form spam | fake enquiries never arrive |
| Login brute force | password guessing is blocked |
| Bots at checkout | payment fraud drops |
| Scrapers | bulk harvesting is cut off |
The link to ad protection
The same behavioural antifraud that protects forms underpins protection against click fraud — see what click fraud is and how to tell a bot from a human. Form protection itself is Stitex Antifraud, invisible, with a one-minute integration.
Frequently asked questions
What is wrong with an image CAPTCHA?
It damages conversion — real people abandon the form rather than solve the puzzle — while barely inconveniencing modern bots, which get past it with recognition models or paid solving services. The business loses more than the defence gains.
How does invisible protection work?
It evaluates behaviour and browser fingerprint in the background: how the mouse moves, how the form is filled in, whether the device parameters are consistent. Suspicious sessions get a challenge; genuine users pass without noticing.
Does it get in people’s way?
No — that is the point. An ordinary user notices nothing and fills the form in as usual. An additional check appears only when there are clear signs of a bot.