Pipeline Scanning

DETECT AND REMEDIATE MISCONFIGURATIONS EARLY IN THE DEPLOYMENT LIFECYCLE

Scan and Remediate Kubernetes and IaC Manifests

With everything-as-code, identifying misconfigurations during the development phase dramatically reduces the time and effort required in later deployment stages. Addressing issues at their origin minimizes surprises during production.

Nirmata CLI (nctl) is a powerful tool for scanning CI/CD pipeline misconfigurations. It is easy to use and offers scanning across Dockerfiles, Kubernetes manifests, IaC configurations, cloud resources, or any JSON payload.

nctl integrates with your preferred pipeline, whether it’s GitHub Actions, GitLab pipeline, Harness CI, Jenkins, or AWS CodePipeline. This enables developers and platform engineers to receive early feedback and remediation suggestions, facilitating easy resolution of issues and ensuring code compliance with security guidelines.

Business Benefits

Nirmata provides a unified dashboard that consolidates all cluster and pipeline-related insights. Platform and security administrators can confidently oversee compliance across their code repositories, clusters, and cloud resources. Nirmata offers intelligent insights and recommendations to strengthen the organization’s overall security posture, safeguarding against compliance breaches and potential cybersecurity threats and ensuring peace of mind for administrators.

With Nirmata you can:

  • Scan Dockerfiles, Kubernetes manifests, IaC files, and cloud resources for potential misconfigurations within your preferred CI/CD pipeline efficiently.
  • Receive early feedback and remediation suggestions, empowering developers and platform engineers to address issues quickly.
  • Access a unified dashboard, consolidating all cluster and pipeline-related insights in one place.
  • Confidently oversee compliance across code repositories, clusters, and cloud resources.
  • Leverage intelligent insights and recommendations to enhance the organization’s overall security posture.

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Want to learn more about pipeline scanning for your Kubernetes clusters?