Cybersecurity Infrastructure and Security Automation

A. Mathew
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Abstract

AI-based security systems utilize big data and powerful machine learning algorithms to automate the security management task. The case study methodology is used to examine the effectiveness of AI-enabled security solutions. The result shows that compared with the signature-based system, AI-supported security applications are efficient, accurate, and reliable. This is because the systems are capable of reviewing and correlating large volumes of data to facilitate the detection and response to threats.
网络安全基础设施和安全自动化
基于人工智能的安全系统利用大数据和强大的机器学习算法来自动化安全管理任务。案例研究方法用于检查启用人工智能的安全解决方案的有效性。结果表明,与基于签名的系统相比,人工智能支持的安全应用高效、准确、可靠。这是因为这些系统能够审查和关联大量数据,以促进对威胁的检测和响应。
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