Learn everything about the specific challenges companies face from bots during Black Friday and Cyber Monday (BFCM) and the end-of-year shopping season, the resulting impact, and approaches to counteract these threats.
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 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, unseen attack patterns in real time, so you are always on the safe side.
We analyze discrepancies in data using predefined criteria that allow conclusions about bots.
Based on certain calculations within the browser, the system identifies fraudulent activity.
Several hundred bot traps (so-called “honey pots”) are used. Invisible for real visitors, fatal for bots.
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 and adapts itself to the actual threat.
Our AI examines the behavior of each data point in the system and uses the standard deviation from the norm to identify outliers. This method excels at detecting attacks designed by cybercriminals to bypass rule-based detection and is especially effective against new, unseen attack types.
Our algorithm examines over 2,000 factors in real time. For example the number and direction of mouse movements, cursor velocity and key-stroke dynamics.
The more data points of traffic our AI analyzes, the better the detection becomes. Or in other words: Benefit from all our customers in the defense against bot attacks.
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