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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v7i9.12385</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Security Tools Based on Large Language Models</title><url>https://artdesignp.com/journal/SSR/7/9/10.26689/ssr.v7i9.12385</url><author>LiJiaxin,WangBaocheng,WeiYiwei,DongJiaxin,HeFang</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>7</volume><issue>9</issue><history><date date-type="pub"><published-time>2025-09-09</published-time></date></history><abstract>This article focuses on the field of security tools based on large language models (LLMs), systematically reviewing the core products, security strategies, and technical solutions launched by leading US technology companies and research teams in 2024. In June 2024, OpenAI released its security strategy for large language models and a user data protection plan. 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