相关实验视频
数据隐私和网络安全在云计算和人工智能 (AI) 应用中的挑战 对于EQA组织
Alexander Haliassos1, Dimitrios Kasvis2, Serafeim Karathanos1
1ESEAP & GSCC-CB, Athens, Greece.
EJIFCC
|December 29, 2025
概括
外部质量评估 (EQA) 提供商在采用云计算和人工智能时面临网络安全风险. 实施强大的安全性和确保合规性对于保护敏感数据和维持运营至关重要.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 网络安全 网络安全
- 云计算 云计算 云计算 云计算
背景情况:
- 云计算和人工智能为EQA提供商提供了可扩展性和成本效益.
- 采用这些技术带来了重大的网络安全和数据隐私挑战.
研究的目的:
- 在EQA中识别和分析与云计算和AI相关的网络安全风险.
- 开发一个以风险为中心的框架来缓解这些挑战.
主要方法:
- 关于医疗保健云计算网络安全的系统文献综述.
- 在生物信息学和网络安全方面的专家咨询.
- 对针对EQA组织的真实黑客事件的分析.
主要成果:
- 确定了10个关键的网络安全挑战,包括数据泄露,监管不合规 (HIPAA,GDPR),数据主权问题和内部威胁.
- 他们强调了共享基础设施,云提供商安全性和应用程序中的漏洞.
- 云安全管理的有限可见性,控制和复杂性带来了重大风险.
结论:
- EQA提供商必须实施强有力的安全实践,并确保对云和AI采用的监管合规.
- 持续监测和积极的网络安全策略对于保护实验室数据至关重要.
- 有效的风险管理对于维持运营连续性和认证至关重要.
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