Bot management solution for websites and APIs
Identify automated traffic on your website or application. Check which clients deserve access, then apply your policy without treating trusted crawlers and disguised scrapers as the same thing.
Request a site auditStart with a site audit
See which tested scraping tools can retrieve your pages. Get a manually reviewed report with exposed pages and fixes to consider. No installation required; this is not an instant traffic scan.
What bot management means for a website or application
A bot management solution identifies automated traffic, tests the evidence behind each identity, and helps the site apply a response. The decision needs room for approved automation, abusive traffic, and clients that cannot yet be classified.
The hard cases include declared crawlers, browser agents, scraper services, account-abuse tools, residential proxy traffic, and slow automation that stays below simple rate limits.
One request, four questions
01
The request reaches your edge
Your existing CDN, reverse proxy, or application receives the request where it already handles access decisions.
02
Identity claims are checked
A declared crawler name is compared with the evidence available for that operator. A user-agent string alone is not treated as proof.
03
Automation evidence is evaluated
Connection, request, browser, and behavior signals help distinguish a trusted client from automation that only looks ordinary.
04
Your policy chooses the response
The request can be observed, allowed, rate-limited, challenged, or blocked according to the resource and the confidence in the decision.
Different automated clients need different answers
Trusted and verified automation
Search crawlers, monitoring, and partner services may need access. The useful question is whether the request really comes from the operator it claims to represent.
Review crawler verificationAI crawlers and agents
Some AI clients declare a name or publish network information. A site still needs a policy for which resources and actions each verified client may access.
Build an access policyBrowser-like scrapers
A scraper can run a real browser, rotate residential addresses, and spread requests across a long session. One IP rule rarely describes the whole client.
See the detection modelContent and data extraction
Pages, catalogs, search results, documents, and structured data do not carry the same value or risk. Protection should follow the resource rather than the hostname.
Explore the scraping use caseAccount and transaction abuse
Credential stuffing, fake accounts, and automated purchases use valid-looking workflows for an abusive purpose. The action sequence matters as much as the first request.
Explore account takeoverDirect API automation
An API client may never load JavaScript or present a browser environment. Its identity, credentials, request history, and route budget need their own checks.
Explore API abuse
What to test before you choose a bot management solution
A polished dashboard tells you very little about how a decision was made. Bring representative traffic and ask for the evidence. Test the failure path before you buy.
| Question | Why it matters | Proof to request |
|---|---|---|
| Can it verify a crawler identity? | Names such as Googlebot can be copied into any user-agent header. | Ask for the identity method, operator source, failure case, and date last tested. |
| What happens when automation uses a real browser? | Headless and patched browsers can pass checks built around simple script signatures. | Run your own browser-automation sample and inspect the evidence behind the result. |
| Does it rely on IP reputation alone? | Residential proxies and address rotation can make unrelated requests look like ordinary households. | Test new addresses and slow request patterns. A known data-center range is only the baseline. |
| Can policies differ by resource? | Public pages, account routes, forms, search, and APIs need different access rules. | Model one real policy matrix and confirm where each rule is enforced. |
| How are legitimate users protected? | An aggressive challenge can stop abuse while also adding friction for legitimate visits. | Measure challenge frequency, fallback behavior, and false-positive review on your own traffic. |
| How does it fit the current stack? | A bot layer is only useful if the CDN, WAF, application, and operations team can act on its decision. | Review the data flow, enforcement point, failure behavior, observability, and rollback path. |
To compare vendors, read the comparison of 10 bot management tools, the proof-of-concept plan and Centinel compared with each vendor. If you are replacing a product, see the tested alternatives to Cloudflare Bot Management, DataDome and HUMAN Security.
How the common approaches compare
Each layer answers a different question. Most sites combine several of them. Every row links to the source for its limits.
| Approach | Where it acts | Where it helps | Where it stops | Source |
|---|---|---|---|---|
| robots.txt | A text file that crawlers read before they fetch. Compliance is voluntary. | Tells cooperating crawlers which paths to skip. Costs nothing to publish. | The standard says its rules are not a form of access authorization. A client that ignores the file is not stopped, and any path the file lists becomes public. | |
| WAF rules | Rules applied to the HTTP conversation at the edge, a proxy, or the application. | Common attacks such as cross-site scripting and SQL injection, plus IP, header, and rate rules you write. | Much automated abuse uses valid functionality instead of a vulnerability, so each request can look normal to a signature rule. | |
| CDN bot products | Inside the CDN or cloud edge that already receives your traffic, usually as a per-request score or label. | Self-identifying and verified bots, known signatures, and signals from the provider's network, without a new hop. | Depth depends on the tier. Granular Cloudflare bot scores need Enterprise Bot Management; AWS WAF needs its targeted level for bots that do not self-identify. Policy stays tied to that provider. | |
| Dedicated bot management | A separate product connected at the edge, server, or client, focused on automated traffic. | Scraping, credential stuffing, carding, and other automated threats that abuse normal workflows, with client and behavior evidence. | Adds a vendor, an integration, and a data flow to review. Detection differs between tools, so test with your own traffic. | |
| Centinel | A validation API called from your CDN, web server, application, or CMS plugin before the request reaches the origin. | Crawler identity checked against operator sources, per-route policy rules with rate limits, and a monitor mode that logs a rule before it blocks. | Acts only where it is integrated. Platform integrations fail open during a validator outage. It does not replace a WAF for injection attacks. |
Add bot evidence to the stack you already run
Keep the CDN, web application firewall, and application controls that already do useful work. Centinel focuses the decision on automated traffic and the site's access policy. The exact enforcement point and available responses depend on the integration.
Start with the free scraping audit to find a concrete exposure. Use the report to decide what to change in your current controls and whether to evaluate Centinel on the affected routes. An audit is not a full production traffic inventory or a guarantee that every automated client has been identified.
Bot management FAQ
- What is bot management?
- Bot management is the process of identifying automated clients, verifying what they claim to be, and applying an access policy. A useful system preserves access for approved automation and legitimate users while controlling abusive traffic.
- How is bot management different from a WAF?
- A web application firewall and a bot management system answer related but different questions. A WAF applies security rules to requests. Bot management adds evidence about whether a client is automated and how that automation behaves. The two can work together.
- Can a bot management solution control AI crawlers?
- It can help identify declared AI crawlers and apply a resource-level policy when the deployment supports those controls. Undeclared or spoofed traffic needs additional identity and automation evidence rather than a user-agent rule alone.
- How should a team evaluate bot management software?
- Test it with the traffic, routes, and actions that matter to your service. Include verified crawlers, browser automation, residential proxy traffic, and slow abuse. Review the evidence, user impact, integration path, failure behavior, and rollback process.
- Do we still need a WAF?
- Yes. A WAF blocks request patterns such as SQL injection and cross-site scripting. Bot management decides whether an automated client may use a workflow that is valid on its own, such as search, login, or checkout. Most sites run both.
- Is robots.txt enough to stop AI crawlers?
- No. RFC 9309 states that robots.txt rules are not a form of access authorization. Crawlers that follow the file will skip the paths you list; a client that ignores it is only stopped by enforcement at your edge, server, or application.
- How are Googlebot and other verified crawlers handled?
- Centinel checks a declared crawler against the sources its operator publishes, such as IP ranges and reverse DNS. A policy can allow verified crawlers and treat a request that only copies a crawler name as unverified.
- Can we test a policy before it blocks traffic?
- Yes. A Centinel policy rule can run in monitor mode. Matching requests are logged with the decision the rule would have made while the visitor still receives an allow, so you can review the effect before you enforce it.
- What happens if Centinel is unavailable?
- The platform integrations fail open, so requests continue to your origin during a validator outage. For a custom integration, the documentation recommends a 300 to 500 ms client timeout and failing open on server errors and timeouts.
- Does it work for APIs that never load a browser?
- Yes. Your server sends the request method, URL, IP address, and headers to the validation API, so the decision does not depend on JavaScript. Rules can apply per route, including rate limits, and a partner tool can present a passport credential.
- Where does Centinel integrate?
- At the point that already handles your traffic: CDN and edge platforms such as Cloudflare Workers, Fastly, Akamai EdgeWorkers, and AWS CloudFront; web servers such as nginx, Apache, HAProxy, and Varnish; application frameworks; and WordPress or Drupal.