Identifying AI Web Scrapers Using Canary Tokens
Researchers propose canary tokens to detect and attribute AI web scrapers—giving site operators a practical tool to identify unauthorised LLM training-data collection.
Summary written by editorial AI · Source link below
arXiv:2605.13706v2 Announce Type: replace Abstract: From pre-training to query-time augmentation, web-scraped data helps to improve the quality and contextual relevancy of content generated by large language models (LLMs). However, large-scale web scraping to feed LLMs can affect site stability and raise legal, privacy, or ethics concerns. If website owners wish to limit LLM-related web scraping on their site, due to these or other concerns, they may turn to scraper access control mechanisms li
Editorial Analysis
Organisations whose proprietary web content is scraped for LLM training without consent gain a lightweight detection mechanism that could support GDPR enforcement actions.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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