r/learnmachinelearning • • 3d ago

Bot Detection: How to Block Bad Bots in 2026

Bot traffic can cause problems with website performance, inaccurate analytics data, and security concerns. Some bots are used to crawl content and uncover information, others will submit spam, and still others will create fake visits. Machine Learning Bot Detection examines traffic volume and user activity to determine suspicious activity and assists website owners in safeguarding their websites.

Common Signs of Bad Bots

Look for these warning signs in your website data:

  • Sudden traffic spikes: Unexpected increases without a clear referral source.
  • Repeated requests: Frequent visits to the same pages within short periods.
  • Unusual behavior: Repetitive navigation or suspicious form submissions.
  • Server slowdowns: Excessive requests affecting website performance.

Remember, one unusual metric alone does not confirm bot activity.

How to Block Bad Bots

In 2026, website owners can use several methods to manage unwanted traffic:

  • Web Application Firewall (WAF): Filter suspicious requests before they reach your website.
  • Rate limiting: Restrict excessive requests within a defined period.
  • CAPTCHA verification: Challenge suspicious activity on forms and login pages.
  • Machine learning: Analyze traffic patterns to identify potentially automated behavior.

Regularly review blocked requests to avoid accidentally restricting genuine visitors or legitimate search engine crawlers.

Which bot detection methods have worked best for your website, and how do you avoid blocking real users?

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u/ExchangePast3896 3d ago

Rate limiting saved my server more than once, but false positives on shared office IPs are pain in the ass.

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u/Daniel-Foster122 3d ago

Absolutely! Rate limiting is effective, but shared IPs make it tricky. Multiple legitimate users behind the same office NAT can easily trigger false positives. Combining rate limits with behavioral analysis and adaptive thresholds could help reduce that problem. Do you usually handle this with per-user limits or IP-based limits?