Static approach: These tools can identify web requests and header information. Then it will correlate with bad bots, passively determining the bot’s identity, and blocking it if required.

Challenge-based approach: This would make the website proactively check if traffic originates from human users or bots. This kind of bot detector can check each visitor’s ability to use cookies, run JavaScript, and interact with CAPTCHA elements. The minimal ability to process this kind of element is a hint of bot traffic.

Behavioral approach: This mechanism looks at the behavioral signature of each visitor and sees if it is what it claims to be. This approach establishes a baseline of normal behavior for user agents like Google Chrome and sees if the current user deviates from that behavior. It can also compare behavioral signatures to previous, known signatures of bad bots.