AI-driven Predictive Analytics for Enhancing Cybersecurity in a Post-pandemic World: a Business Strategy Approach

S A Mohaiminul Islam; Ankur Sarkar; A J M Obaidur Rahman Khan; Tariqul Islam; Rakesh Paul; Md Shadikul Bari

doi:10.36948/ijfmr.2024.v06i05.28493

AI-driven Predictive Analytics for Enhancing Cybersecurity in a Post-pandemic World: a Business Strategy Approach

Author(s)	S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Tariqul Islam, Rakesh Paul, Md Shadikul Bari
Country	United States
Abstract	Due to heightened technological advancement that has been ignited by the COVID-19 pandemic, the use of technology in running businesses has surged and therefore making businesses prone to cybersecurity threats. The present paper explores the potential of AI as a tool for advancing cybersecurity in the world after a pandemic, and how business organizations can organize its application for protection against new emerging forms of threats. The research draws on secondary industry data and primary case studies of the businesses with AI-based cybersecurity in place. The outcome demonstrates that emerging AI technologies, including machine learning and neural networks, have cut threat detection time by 40% and enhanced the precision of recognizing potential security threats by 30%, beyond conventional cybersecurity solutions. The new and distinct feature of this paper is to elucidate that new threats can be predicted with the help of AI, while there is a continuous need for new training for AI in relation to cyber threats. Drawing from the literature, this paper, therefore, posits that incorporation of AI-based predictive analytics into business cybersecurity models and systems is not only vital for the defense of data and infrastructure against hackers but equally important for the achievement of sustainable, long-term business continuity during the current day, age of technology and globalization.
Keywords	AI-driven analytics, Predictive cybersecurity, post-pandemic business strategies, Cybersecurity threats, AI in business
Field	Engineering
Published In	Volume 6, Issue 5, September-October 2024
Published On	2024-10-05
Cite This	AI-driven Predictive Analytics for Enhancing Cybersecurity in a Post-pandemic World: a Business Strategy Approach - S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Tariqul Islam, Rakesh Paul, Md Shadikul Bari - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.28493
DOI	https://doi.org/10.36948/ijfmr.2024.v06i05.28493
Short DOI	https://doi.org/g688p5

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AI-driven Predictive Analytics for Enhancing Cybersecurity in a Post-pandemic World: a Business Strategy Approach

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