Cequence Bot Management Machine Learning Techniques

This whitepaper discusses the advanced bot management solutions offered by Cequence Security, emphasizing the inadequacies of traditional bot mitigation techniques. It outlines how conventional methods, such as web application firewalls, fail to effectively combat sophisticated bot attacks that exploit vulnerabilities in web applications. The paper details Cequence's innovative approach, which utilizes multi-dimensional machine learning to analyze user behavior across web, mobile, and API traffic without requiring client-side integration. This method allows for the identification of both legitimate and malicious bot traffic based on behavioral patterns rather than IP addresses. The document further explains the four pillars of threat detection—tools, infrastructure, credentials, and behavior—providing a comprehensive framework for understanding automated attacks. Additionally, it describes the phases of multi-dimensional machine learning analysis, including single-request profiling and intent analysis, which enhance the detection and mitigation of bot threats. Overall, the whitepaper presents a robust strategy for organizations to protect their applications from evolving bot threats.