Cloudflare Spots Human Traffic via Behavior
bibryam · x · 2026-07-15
Cloudflare's Precursor solution is tackling a specific task: distinguishing human traffic from agentic traffic by capturing human behavioral cues. The discriminative signals mentioned by the author include: - Wrist rotation patterns - Cognitive load-related characteristics - Hand tremors and other hard-to-forge patterns The post emphasizes that these features are much harder for automated agents to mimic than real humans, making them highly effective for traffic identification and protection.
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