Unveiling good and bad behaviors on the Agentic Internet

Cloudflare outlines a web security strategy that evaluates automated and human traffic through continuous behavioral analysis rather than treating bots as inherently harmful or relying on one-time checks such as CAPTCHAs. It distinguishes short-term risk from trust built through reputation and transparency, describing BotBase as a directory that tracks verified and unverified bots and agents based on declared identity and observed behavior. Its Precursor system uses CDN-injected client-side JavaScript to assess behavior throughout a session, including cursor movement and transitions between human and agentic activity; Cloudflare reports 206 million evaluation events across 73,438 zones during a 24-hour period. The company also previews Adaptive Intelligence, a self-adjusting bot-detection engine intended to update continuously as traffic patterns evolve, and proposes mitigations such as randomized responses, AI Labyrinth traps for unauthorized crawlers, and queues for legitimate automated agents. These capabilities are intended to give site owners more granular control over automated traffic while allowing beneficial bots and user-directed agents to operate.

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