HUMAN
Web Scraping Prevention and Mitigation Solutions
Pages
2
Time to read
2 mins
Publication
Language
English
Pages
2
Time to read
2 mins
Publication
Language
English
This document is a guide that details the capabilities of HUMAN Sightline, a cybersecurity solution designed to prevent web scraping by bots and large language model (LLM) agents. It outlines how the solution employs advanced machine learning, behavioral analysis, and intelligent fingerprinting to detect and mitigate scraping attempts on web and mobile applications, as well as APIs. The guide explains the importance of blocking malicious scrapers to maintain competitive advantage and protect digital content. It describes key features such as the ability to monitor scraping activity, block unauthorized access, and enforce paid access policies for scrapers. Additionally, it highlights the adaptive feedback loop that allows integration of first-party data to optimize detection and response strategies. The document emphasizes the need for visibility and control over both malicious and legitimate scraping activities, ensuring that organizations can effectively manage their digital resources while minimizing infrastructure strain.