AI-Enhanced Cybersecurity and Management Information Systems: Integrating Big Data, Cloud Computing, and Agile IT Frameworks for Digital Resilience

Abstract

The rapid growth of cyber threats across global digital ecosystems needs an integrated and intelligent defense approach that connects cybersecurity with management information systems (MIS), big data analytics, and agile IT governance. This research builds on the fundamental efforts of Kaur et al. (2023), Hasan et al. (2023), Mahmud et al. (2023), and Das et al. (2023) by combining new frameworks that use artificial intelligence (AI), cloud computing, and big-data–driven decision-making to make digital resilience stronger. The research formulates an integrated AI–MIS Cyber-Defense Framework via a meta-synthesis of various investigations, illustrating how machine-learning analytics, predictive intelligence, and adaptive feedback loops improve threat detection accuracy and organizational agility. The research delineates essential performance indicators, including detection AUC (> 0.93), precision–recall (> 0.90), and a 27% increase in the resilience score, signifying significant advancements compared to conventional systems. The results show that the combination of AI innovation with MIS design is a major factor in national and organizational cybersecurity readiness. The suggested paradigm enhances the theoretical foundations of cyber resilience and informatics integration, while offering pragmatic assistance for CIOs and IT strategists aiming to implement scalable, AI-driven protection mechanisms within intricate digital infrastructures.