摘要
Abstract
Aiming at the practical pain points of small and medium-sized banks such as scarce resources and limited technical capabilities,this paper proposes an artificial intelligence-based vulnerability management architecture with two core innovations.First,automatic vulnerability infor-mation completion,which realizes intelligent supplementation of vulnerability information by invoking AI interfaces.Second,secondary vulnerability grading,where AI agents conduct in-depth analysis of vulnerabilities and reassess their risk levels.Experimental results demonstrate that this solution features four advantages:rapid processing,accurate verification,comprehensive collection and strong adaptability.It can effectively optimize the allocation of vulnerability remediation resources and ensure that genuinely high-threat vulnerabilities are prioritized for disposal.关键词
中小银行/漏洞管理/人工智能/漏洞信息补全/二次定级Key words
Small and Medium-Sized Banks/Vulnerability Management/Artificial Intelligence/Vulnerability Information Completion/Secondary Vulnerability Grading分类
管理科学
