Abstract
This paper explores Zscaler Risk360, an innovative cybersecurity risk management platform that quantifies cyber risks financially, using Monte Carlo Simulation. Risk360 stands out by converting complex cybersecurity data into financial risk metrics, offering organizations a clear understanding of their cyber vulnerabilities in monetary terms. This approach facilitates informed decision-making, resource optimization, and effective stakeholder communication. The paper briefly discusses the platform’s methodology, including risk score calculation and financial impact analysis, and notes its reliance on data quality and adaptability to new threats as challenges. It concludes with potential future enhancements, such as AI and ML integration, underscoring Risk360’s role in evolving cybersecurity risk management.
Cite
CITATION STYLE
Shete, S. (2023). Interface Design for Cybersecurity Risk Quantification with Monte Carlo Simulation. Journal of Artificial Intelligence & Cloud Computing, 2(3), 1. https://doi.org/10.47363/jaicc/2023(2)171
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