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World desk5 min

How to Check Whether an AI Agent Is Accessing Your Website Without Permission

Website logs can reveal unusual automated access, but a user-agent or traffic spike cannot prove an AI agent’s identity or permission status. Here’s how to investigate.
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Check your origin access logs and any CDN, WAF, or reverse-proxy logs for unusual automated requests, then compare the activity with your access policy. A user-agent such as GPTBot or a burst of requests can be a clue, but neither proves the client is an AI agent or that it lacks permission. To investigate reliably, combine request patterns with available bot or identity checks and review where your site’s rules allow access.

What counts as an AI agent probing your site?

“AI agent” can describe different kinds of automated activity. Cloudflare’s taxonomy distinguishes Search crawlers, which collect or index content for later answers; Agent activity, which acts in real time for a person; and Training crawlers, which collect material for training or fine-tuning. A single bot may have more than one purpose. A request is not automatically malicious just because it comes from a bot: whether it is unauthorized depends on your site’s policy, the requested resource, and any applicable agreement. Cloudflare explains these bot categories.

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“Probing” is best treated as a reason to investigate, not a conclusion about identity or intent. Logs can show what a client requested and how your infrastructure handled it; they generally cannot establish on their own that an unknown client used AI or lacked authorization.

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Where to look for requests

Start with the origin server’s access logs and the logs or security events for every layer in front of it, such as a CDN, WAF, or reverse proxy. A request blocked or challenged at the edge may never appear in the origin logs, so an origin-only search can miss the activity. Cloudflare’s bot analytics guidance describes reviewing bot analytics and sampled security logs; available fields and features depend on configuration and plan.

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For the relevant routes, preserve enough information to reconstruct what happened: timestamp, request or correlation ID, path, response status, client IP and ASN where available, raw and parsed user-agent, and session or authenticated-identity signals. Record which rule or detection decision applied. OWASP also recommends considering TLS or HTTP fingerprints where appropriate, while masking credentials and personal information. Do not log secrets just to investigate a crawler. See the OWASP Bot Management and Anti-Automation Cheat Sheet.

How to investigate suspicious activity

  1. Map the request path. Identify which CDN, WAF, proxy, or other service receives traffic before your origin. Search edge events as well as origin logs, and note whether requests were allowed, challenged, or blocked.
  2. Group requests into patterns. Compare volume and timing, requested paths, response codes, headers, source addresses or ASNs, and session or request identifiers. Repeated traversal across many paths, concentrated attention on sensitive endpoints, bursts, or many failures merit review. They are signals, not proof of AI use or wrongdoing.
  3. Check claimed crawler identities. Search user-agent strings for names such as GPTBot and OAI-SearchBot. Cloudflare describes GPTBot as a training crawler and OAI-SearchBot as helping find sites to reference in ChatGPT search results; see its AI crawler guide. Treat a name in a header as a claim, not authentication: headers can be spoofed, and unknown bots can disguise themselves.
  4. Corroborate the claim. Where the operator publishes an identity-validation method, compare the source with that method. Combine any validation result with the request pattern and your CDN or WAF’s bot signals. Cloudflare describes heuristic, JavaScript, and machine-learning detection engines, with availability depending on plan; those signals assess bot characteristics, not the client’s motive. See Cloudflare’s bot-detection engine overview and its discussion of web bot authentication.
  5. Compare requests with your policy. Review your robots.txt, terms, authentication boundaries, and access agreements. A path that your rules disallow but a crawler requests is a reason to investigate. OWASP describes a disallowed bait path as a possible honeypot signal, but do not put sensitive content at such a path.
  6. Choose a proportionate response and review it. If confidence is low, begin with monitoring. If the risk justifies action, consider a challenge, a rate limit on the affected endpoint, or a block. Check the resulting events and adjust rules if they affect legitimate users, verified search crawlers, monitoring services, or partner integrations. Cloudflare documents custom rules and rate limiting in its malicious-bot guidance; OWASP recommends graduated responses.

What each detection method can and cannot tell you

Method What it reveals Limit
Origin and edge logs Requests visible at each layer, including paths, timing, statuses, and actions taken. Origin logs may omit requests stopped at the edge; available fields depend on your setup.
User-agent search Whether requests claim a recognizable crawler name; useful for a first-pass query. The header can be falsified, and a bot may omit a known name.
IP or published identity validation Whether a claimed identity is consistent with an operator’s published validation method. Identity evidence does not establish permission for every path or purpose.
Request patterns and headers Whether access looks automated, unusually broad, or concentrated on sensitive routes. Benign crawlers, integrations, and human activity can also look unusual.
CDN/WAF bot analytics Edge-side scores, security events, and rules or actions applied. Coverage varies by provider, configuration, and plan; a score does not prove intent.
robots.txt Your stated crawl preferences and whether compliant crawlers appear to follow them. It is not technical access control and cannot stop clients that ignore it.
Challenges, rate limits, and blocks A way to reduce unwanted request volume or protect specific routes. Poorly tuned controls can disrupt legitimate traffic; monitor and adjust after deployment.

Can robots.txt stop an AI agent?

No. robots.txt communicates crawl preferences; it does not enforce access restrictions. Cloudflare describes it as non-binding, though reputable bots often follow it. If a client requests a disallowed path, that can be useful evidence about its behavior, but it does not by itself establish who operates it or whether the access is unauthorized. Use authentication and server- or edge-side controls to restrict resources that must not be accessed. Cloudflare’s crawler guide covers robots.txt, and OWASP discusses disallowed paths as a possible honeypot signal in its bot-management guidance.

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Cloudflare’s AI-bot settings are provider-specific

Cloudflare’s documentation says that from September 15, 2026, new domains receive updated defaults that block bots classified as Training or Agent on pages displaying ads while leaving Search allowed. Its documentation also describes Block on all pages, Block on pages with ads, and Allow options; mixed-purpose crawlers are included under the described training-block configurations. This applies to Cloudflare’s configuration, not websites generally. Check your own dashboard and security events to see which settings apply. Cloudflare’s AI-bot policy documentation has the details.

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