Cloudflare: Navigating the Agentic Internet
Cloudflare unveils its strategy for the 'Agentic Internet,' focusing on behavioral analysis to distinguish good bots from bad.

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From the article 2 mentionsWe're entering an era of the "Agentic Internet," where automated agents seamlessly integrate with human sessions, blurring the lines between user and machine.
From the article 2 mentionsThis is the reality of hybrid sessions, where a single user interaction can fluidly shift between human control and automated agents.
From the articleThis complexity demands a new approach to security and traffic management, moving beyond binary classifications to a nuanced understanding of behavior.
From the article 5 mentionsCloudflare is addressing this shift by focusing on assessing continuous actions to build trust, as detailed in their recent blog post, "Unveiling good and bad behaviors on the Agentic Internet."
website owners constantly evaluate visitor actions: malicious, risky, or good
From the article 9 mentionsCloudflare's Web Integrity & Trust team views trust and risk not as opposites on a single scale, but as independent yet reciprocal values.
distinguishing good bots from bad through continuous action assessment
From the article 2 mentionsStatic, point-in-time checks are no longer sufficient; continuous behavioral analysis is the new standard for establishing trust.
transparency is key for agents to declare their intent and actions
From the article 3 mentionsSite owners can clearly define acceptable data usage and behaviors, while bot operators gain easier access by being upfront about their identity.
going beyond network signals to analyze deeper behavioral patterns
From the articleCloudflare is addressing this shift by focusing on assessing continuous actions to build trust, as detailed in their recent blog post, "Unveiling good and bad behaviors on the Agentic Internet."
enables sophisticated handling of diverse internet traffic, improving security
From the articleThis complexity demands a new approach to security and traffic management, moving beyond binary classifications to a nuanced understanding of behavior.
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Written by
Daniel SingerEditor, StartupHub.ai
Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.