Category of Work

Article

Publication Title

European Journal of Advances in Engineering and Technology

Abstract

The rapid digitization of financial services and federal operations has significantly increased cybersecurity risks. Cybercriminals are continuously evolving their attack methodologies, targeting financial institutions and government agencies to exploit vulnerabilities in digital infrastructures. Business analytics has emerged as a powerful tool in combating these threats by leveraging artificial intelligence (AI), machine learning (ML), and big data analytics to detect, analyze, and prevent cyber threats in real time. This paper explores the convergence of cybersecurity and business analytics, emphasizing their combined role in strengthening threat intelligence, fraud detection, incident response, and regulatory compliance. The research provides insights into emerging security trends, risk mitigation strategies, and the use of analytics and data visualization in identifying anomalies and predicting cyber threats before they materialize. By examining real-world case studies and discussing future advancements, this paper highlights how data-driven decision-making is reshaping cybersecurity in financial institutions and federal agencies. The findings underscore the necessity of integrating business analytics with cybersecurity measures to create a proactive, resilient defense against evolving cyber threats.

First Page

11

Last Page

16

Publication Date

2025

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