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Introducing Adaptive Intelligence: Undermining the economics of every bot attack

Cloudflare Blogby Chris Pope ()2
AI summary · glm-5.3-flashSummaries by Vani AI

Cloudflare launches Adaptive Intelligence, an engine that autonomously learns live-traffic meta-signals and deploys disposable rules to raise bot attack costs.

Cloudflare introduced Adaptive Intelligence, a bot-management engine that autonomously learns meta-signals from live traffic and deploys disposable detection rules. The company says static, deterministic rules historically let bot operators keep attacks cheap by using cheap proxies and rapid retooling. The new approach aims to make automated bot attacks economically unsustainable to sustain.

Key facts
  • Engine autonomously learns meta-signals from live traffic
  • Deploys disposable rules to counter retooling and cheap proxies
  • Aims to flip the economic advantage from bot operators to defenders
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From the original article

Bot operators have historically had the economic advantage, bypassing static, deterministic detection rules with cheap proxies and retooling. Cloudflare's new Adaptive Intelligence engine flips this dynamic by autonomously learning from the meta-signals of live traffic and deploying disposable rules, making automated attacks too expensive to sustain.

Cloudflare Blog

By Chris Pope · blog.cloudflare.com

Read the full article at Cloudflare Blog

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.