Bots pose an interesting challenge for modern web applications. They not only result in increased load on servers but also scrape content, brute force credit card numbers, passwords, and gift cards, and automate the exploit of individual vulnerabilities to turn them into large-scale attacks. The resulting load on servers has a measurable impact on performance.
Traditional methods of applying machine learning and statistical analysis of network traffic, IP blocking, and browser fingerprinting have not scaled well to the growing sophistication of botnets, which use real browsers and browser automation frameworks.
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