Security Auditing and Information Assurance in Information Systems: A Practical Approach to Risk Identification and Mitigation

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Diego Montalvo
Luis Quishpe

Abstract

   The rapid rise of cyber threats, coupled with the increasing dependence on digital infrastructure across industries worldwide, has made information systems security auditing a crucial area of focus in cybersecurity. This research paper provides a detailed examination of auditing methodologies and information assurance frameworks, highlighting practical strategies for identifying risks and addressing vulnerabilities in modern information systems. It reviews the shift from compliance-oriented auditing approaches to risk-based methods that incorporate advanced threat modeling, real-time monitoring, and adaptive assessment techniques. By analyzing industry practices, regulatory requirements, and the challenges introduced by emerging technologies, this study proposes a framework for implementing effective auditing processes that consider both technical weaknesses and organizational risk factors. The findings show that strong information assurance programs must integrate multiple methodologies, including penetration testing, vulnerability assessments, configuration reviews, and behavioral analytics. Evidence indicates that organizations with comprehensive auditing programs achieve a 67\% decrease in successful cyberattacks and respond to incidents 43\% faster than those relying only on traditional security measures. The paper concludes with recommendations for building adaptive auditing frameworks that can adjust to evolving threats while maintaining both operational efficiency and regulatory compliance. These findings contribute to the broader understanding of information assurance as a strategic organizational capability rather than merely a technical function.

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Montalvo, D., & Quishpe, L. (2024). Security Auditing and Information Assurance in Information Systems: A Practical Approach to Risk Identification and Mitigation. Northern Reviews on Algorithmic Research, Theoretical Computation, and Complexity, 9(12), 1-22. https://northernreviews.com/index.php/NRATCC/article/view/2024-12-04