Bot management

Not every bot is an enemy and not every human is legitimate. Bot management gives each request a trust score and lets policy decide what to do with it.

Cloudflare Bot ManagementCloudflare TurnstilereCAPTCHADataDome

What it is

A large share of any public application's traffic is automation: search engines and monitoring (useful), but also scrapers, , inventory hoarding and fake account creation. The defense is not blocking "bots", it is distinguishing intent and acting on abuse.

How classification works

Bot management solutions combine signals to produce a score per request. No signal is decisive alone, but together they separate traffic well:

Network and TLS fingerprints: automation clients usually have signatures different from real browsers.
Browser and behavior signals: JavaScript execution, movement, request cadence.
Reputation and context: IP, ASN, client history, per-endpoint pattern.
Verified bots: known crawlers (search engines, monitors) reliably identified and handled separately.

Policy decides the action

The score blocks nothing by itself: policy defines the action per endpoint. A public catalog can tolerate a medium score, while login and checkout challenge or block. An example expression, in the style of Cloudflare rules:

bot rule - illustrativetext

# high automation risk on sensitive endpoints, ignoring verified bots
(cf.bot_management.score lt 30
 and not cf.bot_management.verified_bot
 and http.request.uri.path in {"/api/login" "/api/checkout"})
  -> action: Managed Challenge

Frictionless challenges

Classic challenges (CAPTCHA) punish real users. Modern managed challenges try to prove the client is a real browser without asking the user for anything, and only escalate to an interaction when doubt persists. The challenge is the step before blocking: it reduces false positives and still costs a lot for anyone automating at scale.

Most common use cases

Credential stuffing on login and password recovery.
Scraping of prices, catalog or content.
Mass account creation and promotion abuse.
Inventory hoarding and checkout fraud.
APIs: bots use the routes directly, so policy must also cover non-browser traffic.

Credential stuffingAttack that tests leaked username/password pairs from other services at scale. Signature: many login failures spread across many IPs, with few attempts per account.see in glossary →

connections on the map

Detection engineeringscores automationBot management
Bot managementtriggersRunbooks, response and post-incident hardening

updated on 14/10/2026 · sources to go deeper · report an error

in other domains

Social engineering and phishing defenseoffsecsocial engineering and automated abuse attack identity from the same side
A07 Authentication Failuresowaspcredential stuffing is, first of all, automated traffic
Guardrails - input and output filtersai-agentstelling legitimate automation from abuse applies to agents too

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