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What Does It Take to Detect an AI Agent? Minimal Feature Sets for Behavioral Detection under Browser Automation

arXiv cs.AI · 2026-07-31 Cached

This arXiv paper proposes a three-class detection framework distinguishing humans, bots, and AI agents, showing binary classifiers systematically misclassify agents. It identifies minimal feature sets (e.g., mouse_event_rate and teleport_click_ratio) that achieve perfect agent recall across evasion levels.

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