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Bowtie Barriers - Adding Offense to Defensive Risk Reduction Models

机译:Bowtie障碍 - 为防御性风险降低模型添加冒犯

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Defensive risk reduction models are typically reactive elements. These can be improved by adopting offensive strategies that are reaching outwards to gather critical data to inform on barrier performance, and enhance improvements in advance of the next potential unwanted event. Practical techniques to add strategies of offense to defensive barrier risk reduction models are available, through the capabilities of bowtie barrier management. These can be fully capitalized with systems and software at an enterprise level. Specifically, an offensive approach uses the ability to combine risk, audit, incident and maintenance system or barrier-state data onto bowtie barriers for a fourfold view of barrier condition. This enables a more offensive stance: predictions of barrier decay or weakness, followed by improvement strategies and follow-up. A critical four-corned risk and incident reduction strategy is presented: 1. Risk: What are the major risks in our organisation and how are we managing them? 2. Audits: Is each barrier in place and maintained as required? 3. Incidents: Across one or several incidents, what barriers have been involved, and did they fail or perform as expected? 4.Systems: What systems and system components are degraded or offline today and which barriers are therefore affected? Collation of this data can be performed by choosing a risk element that is common and available to all of the four elements – namely, a bowtie barrier. By using the visual aspects of a bowtie barrier to become the repository for all the relevant data, interpretation, indication and improvement is enhanced. Enterprise risk systems on suitable bowtie-based servers can bring all relevant data under one warehouse and improve access, consistency and shared risk reduction opportunities. Just as each barrier can become a hub for the capture and analysis of dynamic data, a server-based risk analysis warehouse for the enterprise promotes use of various forms of captured data for the scrutiny and improvement of barriers.
机译:防御性风险降低模型通常是无功的元素。通过采用令人反感的策略来提高这些策略可以提高,以收集关键数据以告知障碍性能,并提高下一个潜在的不需要的事件的提前改进。通过Bowtie障碍管理的能力,提供了增加防御障碍风险降低模型的违法策略的实用技术。这些可以在企业级别的系统和软件完全资本化。具体地,令人反感的方法利用能力将风险,审计,事件和维护系统或障碍状态数据组合到Bowtie障碍中的障碍条件的四倍视图。这使得能够更令人反感的姿态:对障碍衰减或弱点的预测,然后改善策略和随访。介绍了批判性的四康风险和事件减少策略:1。风险:我们组织的主要风险是什么以及我们如何管理它们? 2.审计:每个屏障是否适用并根据需要维护? 3.事件:在一个或多个事件中,涉及的障碍是什么,他们失败或按预期执行? 4.系统:今天的系统和系统组件退化或脱机,因此受影响哪些障碍?可以通过选择一个常见的风险元素来执行该数据的整理,并且可以为所有四个元素中的所有常见的元素进行,即,Bowtie屏障。通过使用Bowtie屏障的视觉方面成为所有相关数据的存储库,提高了解释,指示和改进。基于合适的Bowtie的服务器上的企业风险系统可以在一个仓库下带来所有相关数据,并提高访问,一致性和共享风险减少机会。正如每个屏障都可以成为捕获和分析动态数据的集线器,企业的基于服务器的风险分析仓库促进了各种形式的捕获数据,以便审查和改善障碍。

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