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How to block bad bots: a practical guide
Audit your traffic, separate helpful automation from abuse and work through the controls that make the biggest difference first
No jargon. No fear-mongering. Just clear guidance on what automated traffic does to your website, where the damage appears and what you can do next.
Start with the problem you can already see — suspicious traffic, login attempts, copied content, fake leads or a site under pressure. Each topic leads from a plain-English explanation to practical checks and a realistic protection path.
Use Learn in three ways
Understand
Understand the problem
Get a direct explanation of the threat, the business impact and the security terms that matter without needing an IT background
Diagnose
Scan your site
Use practical log checks, GA4 walkthroughs, symptom lists and decision tools to confirm whether the issue is actually present
Plan
Choose the next action
Compare quick controls, layered defences and managed protection without pretending one tool replaces everything else
.Featured guides
Start here
Audit your traffic, separate helpful automation from abuse and work through the controls that make the biggest difference first
Login
Reduce brute force and credential stuffing without turning every genuine login into a puzzle
Scraping
Confirm whether competitors or data collectors are extracting your prices, stock or content — then close the practical gaps
AI crawlers
Set a policy for training crawlers, answer engines and user-fetch agents — then understand where robots.txt stops
. Topic hubs
Choose the business problem closest to what you see. Start with the overview, then open the guide that matches your situation
.Starting-point router
URGENT
Use the emergency path. Confirm what is failing, preserve access and get help for application-layer bot traffic
Diagnose
Start with the bot-problem checklist. It connects traffic anomalies, spam, slow pages, fake accounts and checkout issues
Start here
Open the Bot Directory. Check who operates it, what it does and whether its claimed identity can be verified
.Our approach
Start with the business symptom, then understand the mechanism and the practical options. You will see what you can fix yourself, where controls such as MFA, WAF rules, payment-provider checks, rate limits and server-side validation help, and where automated abuse can still pass through valid requests.
Fast-changing topics show a clear updated date and named reviewer. Detailed guides provide evidence, screenshots and practical steps. The aim is simple: help you recognise the real risk, avoid an expensive overreaction and choose the next sensible action.
ADPAL filters automated traffic before it reaches your website or application. It
evaluates behaviour, browser characteristics, network context, request
sequence and endpoint activity. Most genuine users continue normally. Adaptive
CAPTCHA appears only in rare, uncertain cases.