管理网络安全事件的财务影响

Zsolt Bederna, Tamás Szádeczky
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引用次数: 1

摘要

经济行为者之间的复杂关系以及对信息和通信技术的高度依赖使得所有相关实体都有必要制定保护措施。这种保护应该以与受保护的业务价值相关的风险比例方式,包括预防性和反应性控制。我们的目标是开发一种解决方案,通过财务分析来支持与网络安全相关的业务决策。基于风险的方法帮助管理层以最小的成本找到最佳解决方案,其中保护措施可以防止某些事件的发生,同时以知情的方式接受与其他事件相关的风险。安全行业开发了许多设备,以找到执行财务方面的最佳安全控制,这些设备通常包含规划中使用的解决方案。然而,由于多种原因,实际支出往往与计划预算不同,其中之一是安全事件的发生。我们使用了通用的财务分析方法工具集(NPV, NFV,风险评估)。我们在此基础上开发了可用于网络安全管理的新指标。在这样定义的框架内,本文讨论了2016年至2020年涉及Meta(以前的Facebook)服务的事件影响的经济背景。本文介绍了“事件的影响”指标,以衡量与计划预算相比,意外事件对实际支出的影响,以及“事件识别的发生率”指标,以衡量所有者感知到的事件影响相对于对资产价值的影响的偏差。本文还以Meta为例证明了这些指标的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Managing the financial impact of cybersecurity incidents
The complex relationships of economic actors and the high dependency on information and communication technologies make it necessary for all relevant entities to develop protection. This protection should include preventive and reactive controls in a risk-proportionate manner in relation to the business value protected. We aimed to develop a solution to support cybersecurity-related business decisions with financial analytics. The risk-based approach helps management find the optimum solution with minimal costs, where protection prevents some incidents from occurring, while the risks associated with other incidents are accepted in an informed way. The security industry developed a number of apparatuses to find the optimum security controls that enforced the fiscal aspects, which typically contain solutions used in planning. However, the actual expenditure often differs from the planned budget for several reasons, one of which is the occurrence of security incidents. We used the common methodology toolset for financial analysis (NPV, NFV, risk assessment). We developed novel metrics based on these that can be used in cybersecurity management. Within the framework thus defined, the article discusses the economic context of the effects of incidents involving Meta (previously Facebook) services from 2016 to 2020. This paper introduces the ‘Effect of incidents’ metric to measure the impact of unplanned incidents’ on actual expenditure compared to the planned budget and the ‘Incidence of incident recognition’ metric to measure deviations of an incident’s impact as perceived by owners relative to the effect on the value of the assets. The paper also proves the applicability of those metrics using the example of Meta.
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