Review the current state
We identify the existing configuration, dependencies, traffic patterns, application paths, and obvious gaps before deciding what needs to change.
Malicious bots scrape your content, stuff credentials, drain your Google Ads budget with fake clicks, and test stolen credit cards through your checkout. Our managed bot protection service identifies and blocks bad bots in real time using Cloudflare's bot management platform, custom fingerprinting rules, and challenge logic built around your specific traffic patterns.
Xequent configures Cloudflare bot protection to reduce harmful automated traffic without unnecessarily blocking legitimate users and search crawlers. The service can address credential-stuffing bots, content scraping, ad-fraud traffic and other unwanted automation.
Bot traffic is rarely visible to business owners until the damage is measurable. Ad budgets disappear without corresponding leads. Analytics data becomes unreliable because bot sessions inflate pageviews and distort conversion rates. Server bills increase because bot traffic consumes bandwidth and compute. Google Ads accounts get flagged for invalid click activity. Merchant accounts face card testing disputes.
Industry estimates suggest that between 25% and 40% of internet traffic is automated bot activity, with a significant portion being malicious. For eCommerce sites and sites running paid advertising, the proportion is often higher because these sites are disproportionately targeted. A properly configured bot protection layer removes this overhead entirely.
The free bot traffic analysis I offer as part of every initial review typically shows business owners for the first time exactly how much bot traffic they are carrying, and what it is costing them. In most cases, the cost of bot protection pays for itself within weeks through reduced ad waste and server load alone.
Before any configuration, I analyse your Cloudflare logs to show you exactly what bots are hitting your site, which endpoints they are targeting, what patterns they follow, and what the realistic cost of that traffic is. This is provided at no charge as part of the initial review.
Configuration and tuning of Cloudflare's Bot Fight Mode, which uses machine learning to identify and challenge automated traffic. Default Bot Fight Mode settings are adjusted for your traffic to minimise false positives against legitimate automated tools your business uses.
WAF rules that identify bot traffic using behavioural signals (request frequency patterns, header combinations, TLS fingerprints, and user-agent characteristics) that generic bot protection misses. Written specifically for the bot patterns currently hitting your site.
Rate limiting and challenge rules on your authentication endpoints that throttle credential stuffing attacks while allowing legitimate login traffic through without additional friction. Includes monitoring for login failure rate anomalies that indicate an active stuffing campaign.
Specific rules targeting the bot networks and IP ranges responsible for Google Ads and Meta Ads click fraud. Blocks bot traffic before it reaches your ad landing pages and generates a fake click, preserving your campaign budget for genuine potential customers.
Every bot protection configuration explicitly whitelists Googlebot, Bingbot, and other legitimate crawlers. Blocking rules are tested to confirm search engine access is unaffected before any rule goes live. Your SEO is never put at risk by bot protection configuration.
Use breached username/password lists to attempt logins at high volume. Target WordPress admin, WooCommerce accounts, SaaS login pages, and any authenticated endpoint.
Copy your product listings, pricing, and content to competitor sites. Consume significant bandwidth and server resources. Distort analytics data and inflate CDN costs.
Generate fake clicks on your Google Ads and Meta Ads campaigns, depleting your budget without producing genuine leads. Often organised by competitors or click farm operations.
Test stolen credit cards through eCommerce checkout flows using micro-transactions. Risk your merchant account standing and trigger chargeback disputes from genuine customers whose cards were tested.
Automated tools that probe your site for known CVEs, plugin vulnerabilities, and configuration weaknesses. Provide attackers with a target profile before a more sophisticated attack is launched.
Flood contact forms, registration forms, and comment sections with spam submissions. Consume email sending quotas, damage deliverability, and waste staff time reviewing fake enquiries.
I analyse your Cloudflare logs and provide a free report showing what bot traffic is present, which endpoints it targets, and what it is costing. This gives you the full picture before committing to any work.
Based on the analysis, I design a layered protection approach: which endpoints need rate limiting, which bot patterns need custom fingerprinting rules, and whether Cloudflare Bot Fight Mode or more advanced bot management features are appropriate for your plan level.
All bot protection rules are deployed in log-only mode first. I review what each rule would block against your real traffic to confirm legitimate users and search crawlers are not affected before a single request is actually blocked.
Rules move to block mode progressively, highest-confidence rules first, tunable rules after additional monitoring. I watch the block event log in real time for the first 24 to 48 hours to catch any edge cases.
Written documentation of every rule, its target, its logic, and how to adjust it. A process guide for reviewing new false positives. And a monitoring setup so you can see bot block events in your Cloudflare dashboard without needing to interpret raw log data.
Common indicators include traffic spikes with no corresponding increase in leads or revenue, unusually high bounce rates, login failures in your CMS, inflated Google Ads click counts with poor conversion rates, and server load spikes at regular intervals. Your Cloudflare analytics will show the raw request volume, if you see thousands of requests to wp-login.php, your API endpoint, or your checkout page from a single IP or ASN, that is automated bot traffic. I offer a free traffic analysis to confirm what bot activity is present before you commit to any service.
Good bots include search engine crawlers like Googlebot and Bingbot, monitoring tools, SEO audit tools, and legitimate API integrations. These should be allowed through your bot protection rules. Bad bots include credential stuffing tools, content scrapers, vulnerability scanners, ad fraud bots that click your Google Ads, and spam bots that fill out contact forms. The challenge with bot protection is blocking the bad category without affecting the good one, which requires rules based on verified bot identities and behavioural patterns rather than blanket bot blocking.
No. Google's crawlers use verified IP ranges and user agent strings that Cloudflare recognises and exempts automatically. Custom bot protection rules are designed with search engine crawlers explicitly whitelisted. In six years of configuring bot protection, I have never had an engagement that caused Google indexing issues, and confirming crawl access remains intact is part of the testing process before handover.
WordPress security plugins like Wordfence operate at the PHP layer inside your server. They only see traffic after it has already consumed your server's CPU and memory. Cloudflare bot protection operates at the network edge, bots are identified and blocked before they touch your server. This means bot traffic cannot exhaust your server resources even during high-volume bot campaigns, which is something plugin-level protection cannot prevent.
Credential stuffing is an automated attack where bots use lists of breached username and password combinations to attempt logins at scale. A single credential stuffing campaign can attempt tens of thousands of logins per hour against a target site. Cloudflare bot protection stops credential stuffing through a combination of rate limiting on authentication endpoints, bot score checks that identify automated login patterns, and challenge rules that require human verification when suspicious patterns appear, all without adding friction for genuine users.
Yes. Click fraud bots inflate your Google Ads costs by generating fake clicks that deplete your budget without producing genuine leads. Cloudflare bot protection blocks many of the bot networks responsible for click fraud before they reach your landing pages. This reduces invalid click volume, which over time improves your campaign data quality and can reduce your effective cost per acquisition. See also the dedicated Click Fraud Protection service for a more targeted approach to ad fraud specifically.
A standard bot protection setup takes 2 to 4 business days. The first day involves analysing your traffic to identify existing bot patterns. Days two and three involve configuring Cloudflare Bot Fight Mode, writing custom fingerprinting rules, and testing against real bot traffic in log-only mode. Day four involves switching to block mode and monitoring for false positives. For sites under active bot attack, fast-track setup with initial protection within hours is available.
Yes, and WooCommerce checkout pages are among the highest-priority targets because bots use them for card testing, automated attempts to validate stolen credit card numbers using small test purchases. Custom bot protection rules on checkout endpoints, combined with rate limiting and challenge requirements for suspicious request patterns, stop card testing while keeping legitimate purchases flowing. This protects your merchant account reputation as well as your customers.
Book a free bot traffic analysis. I show you exactly what is hitting your site and what it is costing before you spend anything on protection.
Bot Protection Service should be treated as a business-critical security project, not a single setting. The work begins by understanding your current environment and ends with tested changes and a clear handover.
We identify the existing configuration, dependencies, traffic patterns, application paths, and obvious gaps before deciding what needs to change.
Controls are selected around the actual website rather than copied from a generic checklist. That keeps the configuration useful and reduces unnecessary complexity.
Changes are verified against expected behaviour and documented so you have a reliable record of what was done and how the important controls work.
Security services matter most when they solve a specific operational problem. This engagement is useful when your team is dealing with situations like these.
Unexpected requests, scanning, scraping, or automated abuse can consume resources and obscure the traffic that actually matters.
Login, admin, API, checkout, and other sensitive paths often need controls that are more precise than a site-wide security rule.
Security changes can sometimes create false positives or unexpected behaviour. A structured review can separate genuine protection gaps from configuration mistakes.
Following malware, abuse, or an outage, the goal is not only to fix the immediate issue but also to reduce the chance of the same path being exploited again.
Technical security work is more valuable when the next person can understand the configuration instead of inheriting undocumented rules and settings.
As traffic, integrations, customers, and application complexity grow, security controls need to evolve with the website rather than remain on their original defaults.
Security that blocks legitimate customers is not a successful outcome. The objective is a balanced configuration that reduces meaningful risk while preserving the normal behaviour your business depends on.
We establish what is happening, which parts of the website are affected, and what a successful outcome needs to look like.
Existing settings, logs, traffic behaviour, application paths, and relevant integrations are reviewed so the work is based on evidence rather than assumptions.
Relevant configuration changes are made with attention to legitimate traffic and the dependencies that keep the website operating normally.
Expected behaviour is checked and obvious edge cases are investigated before the work is considered complete.
You receive the practical explanation and documentation needed to understand the completed work and make informed decisions later.
Yes. Existing websites are often the best candidates because the work can begin with the current state rather than rebuilding everything from scratch.
No. Existing controls are reviewed first. Useful settings can be retained and improved rather than replaced simply for the sake of changing them.
The handover is intended to make the important decisions understandable, including what changed, why it changed, and what should be monitored afterward.
Send over the problem you are seeing. A focused review can help determine whether this service is the right fit or whether another security fix should come first.
Bots are not all malicious. Search crawlers, monitoring services, payment systems and legitimate automation may need access while scrapers, credential-stuffing tools and abusive automation should be challenged or blocked. The goal is traffic classification, not simply maximum blocking.
Traffic patterns, request frequency, paths, user agents, IP reputation signals, repeated authentication attempts and Cloudflare security events can help identify automation. Controls can then be applied with rate limits, managed rules, challenges and targeted firewall policies.
Xequent is operated by Rana Shahwaiz Aslam. The current professional profile shows 100% Job Success, Top Rated Plus, 37 jobs, and 851 hours on Upwork, with pricing scoped to the engagement rather than an open-ended hourly meter. Rana's profile title identifies him as CEH Certified and focused on managed Cloudflare security and cybersecurity.