信息共享伙伴关系的安全选指标
Wendy Yu1, Zachary A Collier2, Shital Thekdi1
1Robins School of Business, University of Richmond, Richmond, Virginia, USA.
概括
评估公司的隐私政策对于管理信息共享风险至关重要. 本研究介绍了一种比较安全政策的方法,指导基于风险的数据安全投资伙伴关系.
科学领域:
- 商业和信息安全 信息安全
- 风险管理 风险管理
- 自然语言处理自然语言处理.
背景情况:
- 企业之间的信息共享提供了好处,但也带来了重大安全风险,包括隐私侵犯,经济和声誉后果.
- 对组织来说,评估信息共享伙伴关系中的安全性是必不可少的.
- 公司的隐私政策是安全态度的关键指标.
研究的目的:
- 在合作伙伴选择过程中,制定衡量和比较信息安全政策的方法.
- 引导基于风险的投资在信息共享安全.
- 提供可操作的洞察力,用于管理公司间数据交换中的安全性.
主要方法:
- 采集和解释使用自然语言处理 (NLP) 指标的公司隐私政策.
- 制定基准衡量指标来评估政策特征.
- 在信息共享背景下分析政策特征之间的关系.
主要成果:
- 一种经过证明的方法,应用于500家高收入企业.
- 建立了评估和比较信息安全政策的指标.
- 洞察隐私政策特征与合作伙伴关系中的安全关系.
结论:
- 开发的方法允许对信息安全政策进行有效的评估和基准分析.
- 这种方法有助于组织在信息共享伙伴关系方面做出明智的决定.
- 风险管理人员和安全专业人员可以利用这些见解来提高数据安全性和降低风险.
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