Bot traffic detection at the highest level

Full protection against bots in three steps



Our algorithm analyzes millions of requests, signals, and behavior patterns every day to provide you with real-time actionable information about your traffic.



Using Negative Audience Groups, our system blocks fake and low-quality traffic in real time. Protect all your channels like Google Ads, Instagram, Facebook, TikTok, LinkedIn and many more.



Using our machine learning algorithms, the system can independently respond to new attack patterns in real time, so you are always on the safe side.

_types of non-human activities

Anomaly checks

We analyze discrepancies in data using predefined criteria that allow conclusions about bots.


If {useragent = iPhone} but {connection speed = data center} -> red flag


If {IP adresse = data center} -> red flag


If {useragent = iPhone} but {screen resolution ≠ known resolutions} -> red flag


If {plugins = none} & {language = none} & {window = 1×1} -> red flag

Real-time browser analysis

Based on certain calculations within the browser, the system identifies fraudulent activity.

Honey Pots

Several hundred bot traps (so-called “honey pots”) are used. Invisible for real visitors, fatal for bots.

Behavioral Analysis

Sophisticated bots can now mimic human behavior in great detail. Using a combination of supervised and unsupervised machine learning models, the system learns how users interact with your website. Anomalous behavior that does not match the specific behavior profile of your website is thus detected in real time and reliably blocked.
Human Behahvior
Bot Behahvior

Looking at factors such as

How long did the user stay on the website?

How many other requests have been made?

How quickly were other requests made?

Was the entire content of the page loaded?

Was the user's navigation as expected?

How much of your marketing is wasted on fake traffic?
1%, 4%, 36%?
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