Cluster Compliance Audit

Compliance frameworks have K8s requirements.

Automated

Cluster compliance audit is the discipline of verifying that the Kubernetes cluster meets the team's compliance requirements. The audit happens at multiple levels: automated scans for common gaps, manual review for deeper concerns, and evidence retention for auditors. Each level catches different categories of issues.

What automated audit provides:

Automated audit catches the common cases. Without it, the team's compliance posture is built on assumptions; with it, the data is real.

Manual

Some compliance concerns require human review. RBAC, network policies, and similar configurations have semantic correctness that scans cannot verify; manual audit fills the gap.

Manual audit is the deeper layer. It catches what automation cannot; it is expensive but high-value.

Evidence

Compliance is not just about being compliant; it is about demonstrating compliance to auditors. The evidence layer captures the data auditors need; the documentation supports the audit conversation.

Cluster compliance audit is one of those security disciplines that pays off across many compliance discussions and many years. Nova AI Ops integrates with cluster scanners and audit tools, surfaces compliance trends, and produces the evidence package that auditors and leadership both reference.