%0 Journal Article
%T 人工智能技术在等保测评报告质量检测中的应用<br>Application of Artificial Intelligence Technology in the Quality Detection of the Equal Protection Evaluation Report
%A 武建双
%A 孙宝
%A 田金玉
%J Artificial Intelligence and Robotics Research
%P 104-113
%@ 2326-3423
%D 2025
%I Hans Publishing
%R 10.12677/airr.2025.141011
%X 本文探讨了人工智能技术在等级保护测评报告(简称等保测评报告)质量检测中的应用。等保测评是确保信息系统安全的重要手段&#65292;而报告的质量直接影响到测评结果的准确性和可靠性。本文首先介绍了等保测评的基本概念和重要性&#65292;然后详细分析了人工智能技术在报告质量检测中的关键作用。本文深入探讨了人工智能(AI)技术在等保测评报告质检中的应用&#65292;包括运用Bert模型进行等保测评报告中符合情况一致性的判断&#65292;以及利用大模型出色的语义理解能力和信息总结能力&#65292;精确抽取复杂文本中的关键实体&#65292;以提高测评报告的整体质量。最后&#65292;本文总结了AI技术如何助力等保测评报告质检的自动化和智能化&#65292;并指出了当前面临的挑战和未来的发展方向&#65292;为等保测评报告质检的进一步发展提供了一定的参考价值。<br>This paper explores the application of artificial intelligence technology (AI) in the quality detection of the Equal Protection Evaluation Report (referred to as the &#8220;Equal Protection Evaluation Report&#8221;). Equal Protection Evaluation is an important means to ensure the security of information systems, and the quality of the report is directly related to the accuracy and reliability of the evaluation results. This paper first introduces the basic concepts and importance of equal assurance assessment, and then analyzes in detail the key role of artificial intelligence technology (AI) in report quality inspection. The paper discusses in depth the application cases of AI in the quality inspection of equal protection evaluation report, including the use of the Bert model to judge the consistency of the situation in the report, as well as the use of the large language models&#8217; excellent semantic understanding ability and information extraction ability to accurately extract key entities in complex texts. Finally, this paper summarizes how AI can help the automation and intelligence of quality inspection of equal protection evaluation reports and points out the current challenges and future development directions, which provide valuable reference for the further development of the field of quality assurance assessment.
%K 等保测评&#65292
%K 人工智能&#65292
%K 质量检测&#65292
%K 自然语言处理&#65292
%K 大模型<br>Equal Protection Evaluation
%K Artificial Intelligence
%K Quality Detection
%K Natural Language Processing (NLP)
%K Large Language Models (LLMs)
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=105741