Cloudflare, Inc. (NYSE: NET) announced the launch of Adaptive Intelligence, a continuous detection engine integrated into its Bot Management product, according to a company press release.

The system uses machine learning trained on what Cloudflare describes as more than one trillion web requests per day to generate short-lived, automatically rotating rules designed to block automated attacks. Unlike traditional bot mitigation tools that rely on scheduled updates, Adaptive Intelligence is built to retrain on live traffic in real time, the company said.

The product targets a range of automated threats, including credential stuffing, scraping campaigns, and attacks that use residential proxy networks or software that mimics human behavior. Cloudflare said security updates are tested against live traffic before deployment, with no downtime required.

"Building taller walls fails when the cost of scaling an attack is effectively zero. To stop modern bot threats, you have to flip the economics on the attackers. Traditional defenses offer a static target that threat actors can systematically solve. Cloudflare's Adaptive Intelligence creates a moving target—rendering an attacker's engineering efforts obsolete before their operation can ever achieve scale," said Dane Knecht, CTO at Cloudflare.

The engine also incorporates browser-level session signals from Cloudflare Precursor, a separate product, to distinguish automated traffic from legitimate human visitors.