
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 4
July-August 2025
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The Role of AI in Enhancing Business Analytics and Security: A systematic Review
Author(s) | Sweta Pandya, Urvish Pandya |
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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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E-ISSN 2582-2160

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IJFMR DOI prefix is
10.36948/ijfmr
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