AI Bot Detection

Defend endpoints against sophisticated, human-mimicking bots and distributed scraping networks using AI-driven behavioral modeling.

Static rules are not enough

Advanced scraping networks route traffic through residential proxies, rotate user-agents, mimic mouse trails, and solve basic Javascript puzzles to impersonate normal human browsers.

AI Bot Detection uses machine learning to profile client interactions over time. It identifies subtle anomalies such as unnatural click frequencies, headless browser artifacts in TLS negotiations, and coordinated access patterns across unrelated IP addresses.

Enforcement

When the model flags a suspicious agent, it automatically elevates the challenge level (from standard proof-of-work JS validation to advanced CAPTCHAs) without disrupting standard human users.