In the new generation of captcha (version 4), artificial intelligence intelligently detects suspicious requests by analyzing the behavior of users and, if needed, displays applicable challenges according to the level of suspiciousness of the request. In this case, with the help of artificial intelligence, high security is provided and provided along with an excellent user experience

By using its smart services, with the help of artificial intelligence and technical challenges, ARCaptcha distinguishes the real user from the bot or malicious request. In each request, more than 150 features of the requester's behavior are extracted and analyzed by the ARCaptcha artificial intelligence system.

ARCaptcha's intelligent detection system separates the automatic behavior of Internet bots from human behavior. Any behavior designed by automated bots or even simple codes with the aim of harming or abusing online businesses can be detected and prevented using this intelligent ARCaptcha system.

The images and appearance of image captchas are customizable and can be changed to match the corporate color and branding of the business. The images used in the captcha puzzle can display the features and services of the business to be effective for the real user, or images related to your brand can be used to remind and engrave the brand in the audience's mind.

The ARCaptcha collector module collects and processes request information and provides you with a detailed performance report. Requests that are from human users and are correctly resolved and requests that are not correctly resolved are collected by day and month. It is also possible to customize reports according to business needs and can include weekly or monthly reports of consumption, possible attacks and more detailed information about requests such as suspicious IPs.

By using this service, it is possible to examine any automatic behavior in the internet space and prevent their activity at any stage. For example, before making an important transaction or before loading a web page, it is possible to prevent suspicious requests by assessing the risk of the request, or make the secondary confirmation step such as SMS or email confirmation conditional on doing it.