Kubernetes Workload Protection

PREVENT COSTLY MISCONFIGURATIONS IN PRODUCTION

Enforce Workload Security and Best Practices

In Kubernetes environments, robust cloud workload protection is critical to ensuring application security. A cloud native workload can be comprised of multiple pod controllers and other resources for networking, storage, and security. Best practices for these workloads include:

  • Configuration of resource quotas and limits at the Pod and Namespace levels.
  • Network micro-segmentation to isolate and secure application workloads.
  • Limiting access to secrets and API access tokens.
  • Preventing harmful combinations including misconfigurations based on CVEs or other known issues.
  • Limiting use of cloud Ingresses or other costly resources.
  • Verifying images for provenance, integrity, and freshness.
  • Enforcing best practices, such as least privileged access for RBAC configuration.
  • Requiring proper labeling and naming.
  • Enforcing relevant compliance standards, such as PCI-DSS and HIPAA.

Business Benefits

Nirmata safeguards container workloads in Kubernetes clusters through policy enforcement and context-aware controls. Nirmata offers a comprehensive solution for cloud workload protection that delivers the following benefits:

  • Centralizing security policies and configurations across fleets of Kubernetes clusters to simplify management and reduce complexity.
  • Reducing the risk of breaches by proactively identifying and mitigating risks.
  • Streamlining security compliance with regulations and standards, demonstrating a solid security posture.
  • Efficiently scaling for growing container deployments using Kubernetes by Nirmata’s flexible policy management solution.

With Nirmata you can:

  • Provide a centralized platform to manage and enforce security policies as code.
  • Configure context-aware policies tailored to specific namespaces, labels, or workloads, providing granular control over workload security.
  • Enforce Pod Security Standards (PSS).
  • Validate deployments of pods, deployments, and other resources against defined security policies.
  • Ensure containers run with the least required privileges.
  • Safeguard secrets and configurations used by workloads.
  • Isolate workloads and prevent unauthorized access by defining network policies that control how containers communicate with each other and external resources.