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Research Paper | Computer Science & Engineering | India | Volume 13 Issue 10, October 2024 | Popularity: 6 / 10
Cybersecurity Tool Rationalization: A Strategic Approach to Optimizing Cybersecurity Infrastructure with Machine Learning Integration
Mohammad Usama Qureshi, Akshat Kumawat, Yash Saxena
Abstract: This paper presents a strategic approach to cybersecurity tool rationalization aimed at optimizing an organization?s security posture, operational efficiency, and cost management. As organizations scale, they frequently encounter a proliferation of cybersecurity tools, leading to redundancies, increased complexity, and inflated costs. Current studies reveal that up to 50% of security tools in enterprises are underutilized, contributing to significant inefficiencies. Our approach focuses on rationalizing tools across key domains, including Identity and Access Management (IAM), Incident Response, Data Protection, Cloud Security, Operational Technology (OT) Security, and Third-Party Risk Management, where redundant or outdated tools commonly inflate operational overhead by 20-30%. To further enhance the rationalization process, we incorporate machine learning (ML) techniques in the form of recommendation systems, allowing organizations to identify and eliminate underutilized or redundant tools more effectively. By leveraging historical performance data and real-time usage metrics, the system delivers optimized recommendations for tool consolidation, resulting in a reduction of cybersecurity spend by up to 25% and an improvement in operational efficiency by 30-40%. Compared to traditional manual evaluations, ML-driven rationalization enables faster decision-making and more precise alignment of tool functionality with business needs. The outcome is a more agile, scalable, and cost-effective cybersecurity infrastructure that strengthens protection across critical operational domains while minimizing waste and complexity.
Keywords: Cybersecurity Tool Rationalization, Machine Learning (ML), Identity and Access Management (IAM), Incident Response, Cloud Security, Data Protection, Operational Technology (OT) Security, Third-Party Risk Management, cybersecurity tool rationalization, operational efficiency, cost management, machine learning, tool consolidation
Edition: Volume 13 Issue 10, October 2024
Pages: 862 - 868
DOI: https://www.doi.org/10.21275/SR241011212840
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