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Securing Kubernetes with CIS Benchmark: Leveraging KubeBench and Grafana for Enhanced Visibility

Our customer is a clinical research organization primarily focusing on clinical trials that help get new treatments to patients faster and more safely.


The customer needed help in ensuring the security and compliance of their Kubernetes (K8S) cluster hosting critical applications. The lack of visibility into the cluster’s security made it difficult to effectively identify vulnerabilities and compliance gaps.

Manual assessment of security configurations and compliance checks was time-consuming and prone to human error. The customer required a centralized platform to gather, analyze, and visualize security-related data for better decision-making and ongoing monitoring of security and compliance efforts.


KubeBench: We recommended KubeBench, a powerful open-source tool designed to automate security checks against CIS benchmarks, specifically tailored for K8S clusters. We executed KubeBench on the customer’s Kubernetes cluster, generating a comprehensive report that highlighted non-compliant configurations, failed checks, and potential security risks. This assessment allowed us to identify areas requiring attention and prioritize remediation efforts.

Integrating Grafana for Enhanced Visibility: To augment the insights derived from KubeBench, we integrated Grafana, a data visualization and monitoring platform.


Integrating Grafana enabled the customer to visualize the security status of their K8S cluster through dynamic and customizable dashboards.

There was a significant reduction in the time required for manual assessments. The customer was able to achieve time savings of around 30% to 50% in security assessment efforts.

The customer was able to improve their compliance with regulatory requirements. This potentially results in a reduction of compliance violations by an estimated 20% to 40%.

Real-time insights provided by Grafana dashboards enable us to detect and respond to security threats more efficiently. This can lead to a decrease in incident response time by around 20% to 40%.

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