Sustainability in Business Security: Leveraging Analytics for Cyber Risk Mitigation

Abstract

Sustainability in business security is important when organizations must first develop strategies that will disallow short-term cyber threats while at the same time protecting organizational structures and important operations. This paper aims at identifying how analytics has been incorporated in the cybersecurity practices especially vulnerability management as a long-term security approach. For this study, based on the “vulnerability_assessment_data1.csv” the different attributes like the severity, risk score, and the time of the patch are analyzed using the descriptive and predictive analysis to find out a pattern, which is clearly missing in the current approaches. Techniques of clustering discovered even more repeated patterns in the susceptible software for more pointed actions to be taken. The study lays particular emphasis upon the implications of data-driven access in minimizing the response time and risk that has involved most vulnerability priorities. The present research outcomes reveal how analytics foster improved cybersecurity and sustainability, in terms of operational continuity with the fewest disruptions possible. Lack of an actual set of data as well as assessment of the financial consequences deserve further research exploring the integration of new datasets and considering financial capabilities of the validated model. This research also provides a literature-based argument for the longer-term application of analytics for cyber risk management, which points a direction for businesses to adopt continual and proactive security that is critically needed in a world where threats are set to increase.