Bot Detection Score For Web Traffic Analysis

Bot Detection Score For Web Traffic Analysis

A bot detection score for web traffic incoming web traffic to determine whether requests originate from humans or automated bots. This scoring system is vital for protecting websites from abuse and fraud. Websites can apply thresholds to challenge or block suspicious traffic. This protects login forms, APIs, and transaction systems from abuse.

Detection models analyze request frequency, behavioral patterns, browser fingerprints, and interaction timing. Scores typically range from low-risk human traffic to high-risk automated activity.

Bot scoring relies on machine learning and behavioral analysis. To understand automated behavior, see Automation. Accurate scoring reduces false positives while blocking malicious bots.

How Bot Detection Scores Improve Security

Websites can apply thresholds to challenge or block suspicious traffic. This protects login forms, APIs, and transaction systems from abuse.

In summary, bot detection scores provide a scalable way to separate legitimate users from automated threats. Intelligent analysis improves performance, security, and user trust.