Journal of Primeasia
Integrative Disciplinary Research | Online ISSN 3064-9870 | Print ISSN 3069-4353
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Volume 7 Number 1 2026
REVIEWS (Open Access)
Integrating Machine Learning, Business Analytics, and Cybersecurity: A Human-Centered Pathway for Strategic Resilience in the Age of Data
Reduanul Hasan1* Zamil Uddin 2
Journal of Primeasia 7 (1) 1-8 https://doi.org/10.25163/primeasia.7110826
Submitted: 27 February 2026 Revised: 20 April 2026 Accepted: 28 April 2026 Published: 30 April 2026
Abstract
The accelerating integration of digital technologies has transformed modern enterprises, positioning data as a central strategic asset. The convergence of Business Analytics (BA), Machine Learning (ML), and cybersecurity frameworks offers organizations unprecedented opportunities to enhance decision-making, operational resilience, and competitive advantage. Business Analytics enables the transformation of raw data into actionable insights through descriptive, predictive, and prescriptive models, supporting evidence-based strategies across organizational functions. Simultaneously, Machine Learning provides adaptive, data-driven approaches to both analytics and security, facilitating anomaly detection, predictive forecasting, and automated decision-making at scales beyond human capacity. Cybersecurity, increasingly a strategic imperative, safeguards digital infrastructures against sophisticated threats targeting data, networks, and connected devices. Integrating these domains requires alignment with organizational strategy, ethical governance, and human-centered decision-making to ensure accountability, transparency, and stakeholder trust. Systematic review evidence highlights that firms leveraging ML-enhanced analytics alongside robust cybersecurity frameworks demonstrate higher operational resilience, improved risk mitigation, and more effective strategic foresight. However, challenges remain in technical implementation, resource allocation, and ethical oversight. The human-AI symbiosis emerges as a critical paradigm, emphasizing augmentation rather than replacement of human judgment. This paper synthesizes insights studies spanning analytics, ML applications, and cybersecurity to provide a human-centered roadmap for strategic resilience in the age of data. It underscores the imperative for organizations to integrate technological capability with strategic alignment and ethical governance to transform digital challenges into sustainable competitive advantage.
Keywords: Business Analytics, Machine Learning, Cybersecurity, Strategic Alignment, Digital Transformation, Human-AI Symbiosis, Risk Mitigation
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