Prismata: Confining cross-site prompt injection in web agents
This article discusses a research paper titled 'Prismata,' which proposes a method for confining cross-site prompt injection vulnerabilities in web-based AI agents. The paper explores security risks associated with AI agents interacting with external websites.
Why it matters
As AI agents become more integrated into web browsing, securing them against prompt injection is essential to prevent unauthorized data access and malicious actions.
Focus to learn more arXiv-issued DOI via DataCite Submission history From: Corban Villa [ view email ] [v1] Thu, 9 Jul 2026 06:37:52 UTC (4,724 KB) Full-text links: Access Paper: View a PDF of the paper titled Prismata: Confining Cross-Site Prompt Injection in Web Agents, by Corban Villa and 2 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.CR < prev | next > new | recent | 2026-07 Change to browse by: cs cs.AI References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations?
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