The Role of AI in Enhancing Business Analytics and Security: A systematic Review

Author(s)	Sweta Pandya, Urvish Pandya
Country	India
Abstract	In today’s data-driven business environment, Artificial Intelligence (AI) has emerged as a transformative force, revolutionizing both business analytics and security operations. This systematic review aims to explore how AI technologies such as machine learning, natural language processing, and computer vision enhance decision-making, improve predictive analytics, and strengthen cybersecurity frameworks. Using the PRISMA methodology, this study systematically analyse peer-reviewed articles from two databases The findings reveal a dual role of AI: (1) augmenting analytics by enabling real-time data processing, pattern recognition, and customer insight generation, and (2) fortifying security through anomaly detection, fraud prevention, and threat intelligence. The review also identifies implementation challenges such as algorithmic bias, data privacy concerns, and integration complexities. The paper concludes by highlighting best practices, emerging trends, and future research directions for businesses aiming to leverage AI for data-driven strategy and secure digital infrastructure.
Keywords	Business Analytics, Cybersecurity, Machine Learning, Predictive Analytics, Data Security, Systematic Review, AI Integration, Decision Support Systems, and Anomaly Detection.
Published In	Volume 7, Issue 4, July-August 2025
Published On	2025-07-26
DOI	https://doi.org/10.36948/ijfmr.2025.v07i04.52247
Short DOI	https://doi.org/g9vprn

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International Journal For Multidisciplinary Research