Bot Detection Techniques

Bot detection techniques identify automated software (bots) by analyzing patterns like behavior, IP addresses, and interaction timing. They look for signs such as rapid or repetitive actions, strange login locations, or suspicious browsing sequences. Methods include checking for CAPTCHA challenges, monitoring user activity for human-like behavior, and analyzing network data for anomalies. Machine learning models can also distinguish bot behavior from real users by recognizing subtle differences. These techniques help protect websites from spam, fraud, and malicious activities, ensuring interactions are from genuine users.