Cloudflare Launches Adaptive Intelligence to Combat Bot Attacks
Cloudflare has introduced Adaptive Intelligence, a new security engine designed to make bot attacks economically unsustainable for attackers through dynamic, one-time rules.

What happened?
Cloudflare has launched the Adaptive Intelligence security engine, which automatically analyses meta-signals from live traffic to combat automated bot attacks. The system creates and deploys one-time rules in real-time to block attack patterns. Its purpose is to disrupt the economic model for bot operators by making large-scale attack attempts too expensive to maintain.
Key facts
| Teknik | Metasignal-analys & dynamiska engångsregler |
|---|---|
| Tillgänglighet | Global utrullning via Cloudflares nätverk |
”Bot operators have historically had the economic advantage, bypassing static, deterministic detection rules with cheap proxies and retooling.”
Why it matters
Automated bot attacks have become increasingly inexpensive and difficult to mitigate using static or deterministic security rules. By using adaptive intelligence to dynamically adjust protection, the economic burden is shifted from the defender to the attacker, ensuring that continuous attack attempts quickly become unprofitable.
Who is affected?
The feature is aimed at website owners, e-commerce retailers, and IT security managers who are targeted by scraping, credential stuffing, or distributed denial-of-service (DDoS) attacks. End-users benefit from a more secure and reliable experience with fewer service interruptions.
Impact on the EU
The system is being rolled out globally, covering Cloudflare’s network throughout the EU. Businesses processing data from EU citizens gain an additional layer of protection against large-scale bot attacks, which also facilitates compliance with operational security requirements under EU directives such as NIS2.
What else you should know
According to Cloudflare, bot operators have historically held an advantage by using cheap proxy servers to bypass static rules. By automating rule generation in real-time, attackers are forced to constantly rebuild their systems, significantly increasing the cost of their operations.
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