Automated Threat Analysis and Management in a Continuous Integration Pipeline

Laurens Sion, D. Landuyt, Koen Yskout, Stef Verreydt, W. Joosen
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引用次数: 4

Abstract

Security and privacy threat modeling is commonly applied to systematically identify and address design-level security and privacy concerns in the early stages of architecture and design. Identifying and resolving these threats should remain a continuous concern during the development lifecycle. Especially with contemporary agile development practices, a single-shot upfront analysis becomes quickly outdated. Despite it being explicitly recommended by experts, existing threat modeling approaches focus largely on early development phases and provide limited support during later implementation phases.In this paper, we present an integrated threat analysis toolchain to support automated, continuous threat elicitation, assessment, and mitigation as part of a continuous integration pipeline in the GitLab DevOps platform. This type of automation allows for continuous attention to security and privacy threats during development at the level of individual commits, supports monitoring and managing the progress in addressing security and privacy threats over time, and enables more advanced and fine-grained analyses such as assessing the impact of proposed changes in different code branches or merge/pull requests by analyzing the changes to the threat model.
持续集成管道中的自动威胁分析和管理
安全和隐私威胁建模通常用于在体系结构和设计的早期阶段系统地识别和处理设计级安全和隐私问题。识别和解决这些威胁应该在开发生命周期中持续关注。特别是在当代敏捷开发实践中,单一的前期分析很快就会过时。尽管专家明确推荐,但现有的威胁建模方法主要集中在早期开发阶段,并在后期实现阶段提供有限的支持。在本文中,我们提出了一个集成的威胁分析工具链,以支持作为GitLab DevOps平台中持续集成管道的一部分的自动化、持续的威胁引出、评估和缓解。这种类型的自动化允许在开发过程中持续关注个人提交级别的安全和隐私威胁,支持监控和管理处理安全和隐私威胁的进展,并支持更高级和更细粒度的分析,例如通过分析威胁模型的更改来评估不同代码分支中拟议更改的影响或合并/拉取请求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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