Summary
This chapter provided a comprehensive overview of threat modeling in the context of cloud-native environments, focusing particularly on Kubernetes. It began with an explanation of threat modeling, its significance in securing cloud-native applications, and the need for organizations to adopt a proactive approach to address potential security risks.
Various threat modeling frameworks, such as STRIDE, PASTA, and LINDDUN, were introduced, along with explanations of their methodologies and use cases. The chapter provided examples of applying these frameworks to Kubernetes-based applications to create threat models, demonstrating how to identify, analyze, and mitigate potential risks in the cloud-native landscape.
Developing a threat matrix was emphasized as an essential part of the threat modeling process, with a particular focus on Microsoft’s Kubernetes threat matrix, providing a detailed explanation for each attack vector and guidance on how security engineers can...
