AI in Cybersecurity and User Interface Design beyond Chatbots

  • Shete S
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Abstract

This paper examines the integration of Artificial Intelligence (AI) in cybersecurity, highlighting how AI is revolutionizing cloud security for enterprises amidst increasing cyber threats. It defines key concepts including AI, Machine Learning, Large Language Models, Natural Language Processing, and Generative AI, and explores their applications in cybersecurity. Focused on enhancing the efficiency and efficacy of cybersecurity solutions, the paper delves into AI-driven technologies like Text-to-Visualization, Breach Analytics, and Multi-modal Data Protection. It also discusses the impact of AI on user experience (UX) design, advocating for user-centric, intuitive interfaces in cybersecurity tools. The paper concludes by emphasizing the importance of ethical considerations in AI deployment and the crucial role of UX designers in shaping the future of AI-enhanced cybersecurity solutions.delves into AI-driven technologies like Text-to-Visualization, Breach Analytics, and Multi-modal Data Protection. It also discusses the impact of AI on user experience (UX) design, advocating for user-centric, intuitive interfaces in cybersecurity tools. The paper concludes by emphasizing the importance of ethical considerations in AI deployment and the crucial role of UX designers in shaping the future of AI-enhanced cybersecurity solutions.

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APA

Shete, S. (2023). AI in Cybersecurity and User Interface Design beyond Chatbots. Journal of Artificial Intelligence & Cloud Computing, 1–4. https://doi.org/10.47363/jaicc/2023(2)164

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