The rapid advancement of artificial intelligence (AI) has paved the way for a new era in cyber threat intelligence (CTI). This abstract explores the integration of AI technologies into CTI platforms, emphasizing the transformative impact on detecting, analyzing, and mitigating cyber threats. AI-enhanced CTI platforms leverage machine learning algorithms, natural language processing, and predictive analytics to comb through vast amounts of data and identify patterns indicative of potential cyber attacks. This paper discusses the benefits of such platforms, including improved accuracy in threat detection, enhanced predictive capabilities, and streamlined threat response processes. Additionally, it addresses the challenges associated with implementing AI in the context of CTI, such as data quality and privacy concerns. The study concludes with a discussion on the future of AI in CTI, highlighting potential advancements and the ongoing need for responsible and ethical development of AI technologies.
Anderson, O. AI-Enhanced Cyber Threat Intelligence Platforms. Information Sciences and Technological Innovations, 2020, 2, 9. https://doi.org/10.69610/j.isti.20200522
AMA Style
Anderson O. AI-Enhanced Cyber Threat Intelligence Platforms. Information Sciences and Technological Innovations; 2020, 2(1):9. https://doi.org/10.69610/j.isti.20200522
Chicago/Turabian Style
Anderson, Olivia 2020. "AI-Enhanced Cyber Threat Intelligence Platforms" Information Sciences and Technological Innovations 2, no.1:9. https://doi.org/10.69610/j.isti.20200522
APA style
Anderson, O. (2020). AI-Enhanced Cyber Threat Intelligence Platforms. Information Sciences and Technological Innovations, 2(1), 9. https://doi.org/10.69610/j.isti.20200522
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