Kubernetes threat detection

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OWASP Kubernetes Top Ten – K07: Missing Network Segmentation Controls

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Kubernetes has become the de facto standard for container orchestration, empowering organisations to deploy, manage, and scale applications seamlessly. However, its flexibility comes with security challenges, and the OWASP Kubernetes Top Ten identifies the most critical risks organisations face. One such risk, K07: Missing Network Segmentation Controls, is a significant concern that can lead to lateral movement attacks, unauthorised access, and data breaches.
Network segmentation is the practice of logically or physically dividing a network into isolated segments to limit access and control data flow between different workloads. In Kubernetes, network segmentation ensures that different workloads, namespaces, and services only communicate when necessary, reducing attack surfaces and preventing lateral movement.

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OWASP Kubernetes Top Ten – K05: Inadequate Logging and Monitoring

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Kubernetes is a dynamic, distributed system that orchestrates containerised applications at scale. Given its complexity, logging and monitoring are essential for:

Security Incident Detection: Identifying unauthorised access, suspicious activity, or potential breaches.

Performance Optimisation: Detecting bottlenecks, resource exhaustion, or application failures.

Compliance and Auditability: Meeting regulatory requirements such as GDPR, ISO 27001, and SOC 2.

Operational Stability: Ensuring smooth functioning of services, reducing downtime, and proactively resolving issues.

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OWASP Kubernetes Top Ten: K01:2022 – Insecure Workload Configurations

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Kubernetes has revolutionised container orchestration, providing software developers and architects with a scalable and efficient way to manage workloads. However, its complexity also introduces a range of security vulnerabilities, as highlighted by the OWASP Kubernetes Top Ten 2022. The first entry, K01:2022 – Insecure Workload Configurations, is a critical concern, as improperly configured workloads can expose applications to exploitation, data breaches, and unauthorised access.