A Graphical and Qualitative Review of Literature on AI-based Cyber-Threat Intelligence (CTI) in Banking Sector

Eke Roberts Ndukwe, Barilee Baridam
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Abstract

Cyber threats have become a threat to the banking industry, and resulting in the business attempting to implement artificial intelligence strategies while build resilient cyber-defense systems. This is done to ensure that unauthorized access, which leads to cyber-attacks, is severely limited. The credit trade is undergoing significant technical change. Because of this, crucial to comprehend implications a cyber threat, as well as how technologies implementation that is artificial intelligence will revolutionize entire sector. Paper aims at examining how AI affects cyber threat intelligence in the commerce subdivision. A graphical and qualitative analysis of available publications, primarily conference papers, was carried out. Despite being widely used in India and the United States, there are still few studies in the AI field. Furthermore, no study found that African banks used AI for cyber threat intelligence.
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银行业基于人工智能的网络威胁情报(CTI)研究综述
网络威胁已经成为银行业的威胁,导致企业在构建弹性网络防御系统的同时试图实施人工智能策略。这样做是为了确保严格限制导致网络攻击的未经授权的访问。信贷贸易正经历着重大的技术变革。正因为如此,理解网络威胁的影响以及人工智能技术的实施将如何彻底改变整个行业至关重要。本文旨在研究人工智能如何影响商业细分领域的网络威胁情报。对现有出版物,主要是会议文件进行了图形和质量分析。尽管在印度和美国得到了广泛的应用,但在人工智能领域的研究仍然很少。此外,没有研究发现非洲银行将人工智能用于网络威胁情报。
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