Digital Lexicon Hub

Controls that detect and manage automated traffic, allowing useful bots while blocking scraping, credential stuffing, spam and fake sign-ups.

Bad bots fill CRMs with fake leads, test stolen passwords, scrape pricing and click ads, which wastes sales time and media budget and distorts the analytics used for marketing decisions.

After 400 fake demo requests in one week, a SaaS company adds an invisible challenge and a honeypot field to its forms and limits submissions to 5 per IP per hour, while allowing verified search engine crawlers.

Sophisticated bots imitate human behavior and rotate residential IP addresses, so detection is probabilistic. Visible CAPTCHAs hurt conversion and accessibility, and aggressive rules can block legitimate crawlers, monitoring tools or partners.

Detection combines several signals: JavaScript and CAPTCHA challenges, behavioral analysis of timing and navigation patterns, IP reputation, honeypot fields or pages, and rate limiting. Requests are scored and then allowed, challenged, throttled or blocked, with verified good bots on an allowlist. The OWASP Automated Threats taxonomy names abuse types such as credential stuffing, scraping and fake account creation. Controls often run in a Web Application Firewall (WAF) or CDN and help reduce Ad Fraud.