Detecting and managing bot activity more efficiently
summary
Akamai claims visibility over 15–30% of global web traffic and reports concrete case numbers: a ticketing site shows ~30% bot traffic, an e‑commerce site ~43% (mostly known bots), a news site ~20% with a 50/50 split. Detection uses header/signature anomaly scoring (ModSecurity v2 style), long‑term reputation engines, JavaScript fingerprinting and tools like PhantomJS and Selenium, plus responses such as CDN caching, serving stale or fake data, deliberate delays, honeypots and risk scoring that add about 1–2 ms latency.
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chapters (7)
- 0:00Start
- 4:54What is a bot and what do they do?
- 8:52Key Bot Problems
- 9:54Type of bots
- 19:11Detecting known bot nets
- 36:48Bot activity - Case study
- 40:56Bot response strategy Managing unknown bots
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