Best CNAPP for Kubernetes: Why Runtime Context Is the Only Criteria That Matters
Key Insights Introduction Your CNAPP dashboard shows 10,000 critical findings from last night’s scan. Your...
Jan 21, 2026
What are the three types of cloud compliance tools? Audit-prep platforms (Drata, Vanta) automate evidence collection for certifications. Security posture management/CSPM (Wiz, Prisma Cloud) scan configurations at a point in time. Runtime compliance verification (ARMO, Sysdig) monitors actual workload behavior continuously. Choosing the wrong type means solving for the wrong problem.
What is compliance drift and why does it matter? The gap between your last scan and your current state. Your scan said “compliant” on Tuesday. By Friday, CI/CD pushed 47 config changes, autoscaling created 200+ pods, and someone added a permissive network policy. Monday’s audit asks for proof of continuous compliance—but your Tuesday scan is useless.
Why do most compliance tools fail in Kubernetes? They were built for infrastructure that changed quarterly. Kubernetes changes constantly—every deployment, scaling event, and GitOps update modifies configurations. Point-in-time scans create false confidence. Generic remediation advice breaks production. Teams drown in 800+ findings with no way to prioritize.
What capabilities matter most for Kubernetes compliance? Runtime-based prioritization (which misconfigurations affect workloads actually running and exposed), continuous drift detection (violations caught as they happen, not at next scan), and smart remediation (fixes validated against actual application behavior so they don’t cause outages).
How does ARMO Platform compare? ARMO is the only Kubernetes-native platform with 260+ purpose-built controls mapped to CIS, NSA/CISA, SOC 2, PCI-DSS, and HIPAA. Built on Kubescape (50,000+ organizations, 11K+ GitHub stars), it reduces actionable findings by 80%+ through runtime context and provides remediation that won’t break production by analyzing actual workload behavior.
Your last compliance scan said you were good. But that was Tuesday.
It’s now Friday. Since that scan, your CI/CD pipeline pushed 47 configuration changes. Kubernetes autoscaling created and destroyed 200+ pods. A developer added a permissive network policy to debug a production issue—and forgot to remove it. Your GitOps workflow deployed three new services with default RBAC permissions because someone copy-pasted from a tutorial.
Monday morning, an auditor asks for proof of continuous PCI-DSS compliance. You show them Tuesday’s scan. They ask what changed since then. You don’t know. Nobody knows. Your compliance tool only captures snapshots.
This is the compliance drift problem. And it’s why choosing a cloud compliance tool based on feature checklists is a mistake. Different tools solve fundamentally different problems—and most comparison articles don’t acknowledge this.
Cloud compliance tools fall into three distinct categories:
Choosing the wrong type means solving for the wrong problem. This guide breaks down all three—what each does, where each falls short, and how to match the tool to your actual situation.
Traditional compliance tools were built for infrastructure that changed quarterly. Servers existed for months. Configurations were set once and audited periodically. A weekly scan was sufficient because nothing significant changed between scans.
Kubernetes environments change constantly. Every deployment modifies configurations. Autoscaling creates and destroys workloads in seconds. GitOps pipelines push changes multiple times per day. Network policies shift with every service update.
Here’s what this means practically: Your compliance scan runs Sunday night. Monday morning, everything shows green. By Wednesday, a CI/CD pipeline updates network policies that violate PCI-DSS segmentation requirements. Thursday, a new deployment creates pods with excessive privileges. Friday, an auditor arrives asking for evidence of continuous compliance. Your Sunday scan is useless—and you have no idea violations occurred.
This creates two failure modes that plague every security team running Kubernetes:
False confidence. Your dashboard shows green because the last scan passed. But your environment drifted hours after that scan completed. You think you’re compliant. You’re not. The next audit—or worse, the next breach—reveals the gap.
Remediation paralysis. Your scanner flags 800+ findings. Some are critical. Some are theoretical risks in configurations that aren’t even running. Some would break production if you ‘fixed’ them. Without knowing which is which, your team either ignores everything (accepting unknown risk) or tries to fix everything (causing outages). Neither is acceptable.
Most compliance tools don’t solve either problem. They just generate more findings for your team to ignore.
This distinction matters more than any feature comparison. Compliance tools exist on a spectrum from documentation to detection. Where a tool sits determines what problems it actually solves—and what problems it can’t touch.
What they do: Automate evidence collection, track control implementation, manage audit workflows, and maintain documentation for compliance certifications.
The problem they solve: Your team spends six weeks before every SOC 2 audit manually gathering screenshots, exporting logs, documenting policies, and chasing down evidence from twelve different systems. You need that automated and continuously updated.
What they won’t do: Tell you if your systems are actually secure. Audit-prep tools prove you followed processes and documented controls. They don’t verify that your Kubernetes clusters are hardened, your network policies are enforced, or your runtime environment matches your documented configurations. Being ‘audit-ready’ and being ‘actually compliant’ are different things.
Examples: Drata, Vanta, Sprinto, Scytale
What they do: Connect to cloud provider APIs, scan configurations for misconfigurations, and map findings to compliance frameworks. Show you what’s configured incorrectly across AWS, Azure, GCP, and Kubernetes.
The problem they solve: You have no visibility into what’s actually deployed across your cloud environments. Resources are scattered across accounts and regions. You need a single pane of glass showing all misconfigurations and which compliance frameworks they violate.
What they won’t do: Tell you what’s compliant right now. CSPM tools capture snapshots at scan time. In Kubernetes, where configurations change between scans, ‘compliant at last scan’ doesn’t mean ‘compliant now.’ They also can’t distinguish between a misconfiguration in a dormant test namespace versus one in a production workload processing customer data.
Examples: Wiz, Prisma Cloud, AWS Security Hub, Microsoft Defender for Cloud
What they do: Deploy agents that continuously monitor actual workload behavior. Verify that systems are behaving compliantly—not just configured compliantly. Detect violations as they happen, not at the next scheduled scan.
The problem they solve: You can’t prove ongoing compliance in Kubernetes because your environment changes faster than periodic scans can capture. You need continuous verification that catches drift immediately. And you need remediation guidance that accounts for how your workloads actually behave—so fixes don’t break production.
What they do that others can’t: Catch compliance violations that configuration scans miss entirely. A pod can pass every configuration check—RBAC looks correct, network policies are defined, resource limits are set—while running compromised code or exfiltrating data. Configuration tells you what should happen. Runtime tells you what is actually happening.
Examples: ARMO Platform (Kubescape), Sysdig, Aqua Security
| Type | What It Does | Choose This When | Won’t Help With |
| Audit-Prep | Evidence collection, control tracking, audit workflows | You need SOC 2/ISO 27001 certification and want to automate prep | Verifying actual security posture or detecting drift |
| CSPM | Configuration scanning, misconfiguration detection | You need visibility across multi-cloud infrastructure | Continuous compliance or runtime behavior verification |
| Runtime | Continuous behavioral monitoring, drift detection | You run Kubernetes and need ongoing compliance proof | Automating audit documentation workflows |
If your immediate goal is passing SOC 2, ISO 27001, or HIPAA audits, these tools automate the evidence collection and documentation that would otherwise consume weeks of manual work. They’re compliance operations tools—not security tools.
Drata
Drata focuses on making SOC 2 fast for startups. Their 75+ integrations automatically pull evidence from your existing stack—AWS, GitHub, Okta, etc.—so you’re not manually exporting screenshots. Pre-mapped controls mean you’re not starting from scratch figuring out what SOC 2 requires. Continuous monitoring alerts you when a control falls out of compliance before auditors arrive.
Best for: Startups that need SOC 2 quickly to close enterprise deals and don’t have a dedicated compliance team to manage the process manually.
Vanta
Vanta handles multiple frameworks from one platform—SOC 2, ISO 27001, HIPAA, PCI-DSS, GDPR—which matters if you need more than one certification. Their Trust Reports feature lets you share compliance status with prospects during sales cycles without exposing sensitive audit details. The vendor risk management module helps track third-party compliance alongside your own.
Best for: Companies that need multiple certifications or want to use compliance status as a sales enablement tool.
Sprinto
Sprinto offers similar automation at a lower price point than Drata or Vanta. Their implementation is notably faster—some teams report going from zero to audit-ready in under 30 days. The trade-off is fewer integrations and less mature features for edge cases.
Best for: Companies in the 50-500 employee range who need compliance automation without enterprise pricing.
The limitation with all three: They prove you have processes and documentation. They don’t verify your Kubernetes clusters are actually hardened or detect when configurations drift from compliant baselines.
These tools scan cloud configurations and map findings to compliance frameworks. They answer: ‘What’s misconfigured across my cloud environments?’ They don’t answer: ‘Is my environment compliant right now?’
Wiz
Wiz connects to cloud provider APIs without deploying agents—useful for fast, broad coverage without operational overhead. Their graph-based attack path analysis shows how misconfigurations chain together, helping prioritize which issues create actual exploitable paths versus isolated findings that look scary but lead nowhere.
The trade-off: Agentless means no visibility into what’s actually running inside containers. Wiz sees that your Kubernetes cluster exists and how it’s configured. It doesn’t see what your pods are actually doing at runtime. For Kubernetes-specific compliance—especially behavioral violations—you need supplemental tooling.
Prisma Cloud
Prisma Cloud combines CSPM, CWPP, and compliance in one platform. If your organization already uses Palo Alto firewalls and endpoint protection, consolidated management and unified policies reduce tool sprawl. The breadth of coverage spans cloud infrastructure, containers, serverless, and some application security.
The trade-off: Breadth creates configuration complexity. Teams report spending weeks tuning Kubernetes-specific policies to reduce false positives to a manageable level. If you need deep Kubernetes compliance quickly, the learning curve may delay time-to-value.
Microsoft Defender for Cloud
Native Azure integration makes Defender the natural choice for Microsoft-centric organizations. Pre-built regulatory compliance dashboards for CIS, NIST, PCI-DSS, and ISO 27001 work out of the box for Azure resources. AKS support is solid for Azure-hosted Kubernetes.
The trade-off: Multi-cloud parity doesn’t exist. AWS and GCP coverage is available but noticeably less mature than Azure-native features. If you run significant workloads outside Azure, expect visibility gaps.
This is where compliance actually gets proven in Kubernetes. Configuration scans tell you what should be true. Runtime verification tells you what is true—right now, continuously, as your environment changes.
ARMO Platform (powered by Kubescape)
ARMO is built specifically for Kubernetes compliance and security. The foundation is Kubescape—the open-source Kubernetes security scanner used by over 50,000 organizations, with 11,000+ GitHub stars and 100,000+ deployments. That open-source adoption means the detection rules are battle-tested across real environments, not theoretical.
What makes ARMO different is using runtime data to solve the two problems that break every other compliance workflow:
Problem 1: Alert overload with no prioritization. Your CSPM flags 800 misconfigurations. Your team has capacity to fix maybe 50 this quarter. Which 50? Without runtime context, you’re guessing. ARMO’s runtime-based prioritization shows which misconfigurations affect workloads that are actually running, externally exposed, processing sensitive data, or have elevated privileges. A misconfigured pod in a dormant test namespace isn’t the same risk as one handling customer payments.
Result: 80%+ reduction in actionable findings. Your team fixes what matters instead of drowning in noise.
Problem 2: ‘Secure’ fixes that break production. Generic compliance tools say ‘remove this Linux capability’ or ‘restrict this network policy’ without knowing if your application needs it. Your security team applies the fix. At 2 AM, your pager goes off—a critical service is failing because it actually required that capability. The CTO asks why security broke production. Your team rolls back the fix, and the vulnerability stays open.
ARMO prevents this by analyzing actual runtime behavior. It observes what syscalls your containers actually make, what network connections they actually need, what files they actually access. Then it generates smart remediation that aligns with how your workloads actually operate—not generic best practices that ignore your application’s requirements.
Result: Security improvements that don’t cause outages. Fixes your team can apply with confidence.
Best for: Teams running Kubernetes in production who need to prove ongoing compliance—not just point-in-time—and can’t afford security fixes that break applications.
Sysdig
Sysdig combines runtime security with compliance through their Falco-based detection engine. If you need threat detection and compliance monitoring unified in one platform, Sysdig delivers both. Their container forensics capabilities help investigate incidents after detection.
The trade-off: You’re buying a broader security platform, not just compliance tooling. If compliance is your primary need, you’re paying for capabilities you may not use.
Aqua Security
Aqua covers the full container lifecycle—image scanning in CI/CD, registry scanning, and runtime protection. Their open-source Trivy scanner is widely adopted for vulnerability scanning. Compliance features integrate across this lifecycle.
The trade-off: Aqua’s strength is container security broadly, not Kubernetes compliance specifically. If your primary need is proving Kubernetes compliance to auditors, other tools may be more focused.
The rightmost columns matter most for Kubernetes teams. Generic compliance frameworks like SOC 2 and PCI-DSS cover organizational controls but don’t address Kubernetes-specific risks—RBAC misconfigurations, network policy gaps, admission controller bypasses, pod security violations. CIS Kubernetes Benchmarks and NSA/CISA Kubernetes Hardening Guide do.
| Tool | SOC 2 | PCI-DSS | HIPAA | CIS K8s | NSA/CISA | K8s Depth |
| Drata | ✓ | ✓ | ✓ | — | — | None |
| Wiz | ✓ | ✓ | ✓ | ✓ | — | Config only |
| Prisma Cloud | ✓ | ✓ | ✓ | ✓ | — | Broad |
| ARMO Platform | ✓ | ✓ | ✓ | ✓ | ✓ | 260+ controls |
| Sysdig | ✓ | ✓ | ✓ | ✓ | ✓ | Strong |
Feature checklists don’t reveal fit. These questions do:
The mistake is treating compliance tools as interchangeable. They’re not. An audit-prep platform won’t detect configuration drift. A CSPM won’t prove ongoing compliance in Kubernetes. Runtime verification won’t automate your audit documentation.
Match the tool type to your actual problem:
If you’re preparing for SOC 2, ISO 27001, or HIPAA certification: Start with Drata or Vanta. Automate evidence collection, track controls, and streamline audit prep. Recognize these tools prove you follow processes—they don’t verify your environment is actually secure.
If you need visibility into cloud infrastructure compliance: Wiz or Prisma Cloud scan configurations across multi-cloud environments. Understand you’re getting point-in-time snapshots—useful for visibility, not for proving continuous compliance.
If you need to prove ongoing compliance: ARMO Platform monitors actual runtime behavior, catches drift as it happens, and provides remediation that won’t break your applications. This is the only category that addresses the compliance drift problem directly.
Different problems entirely. Audit-prep (Drata, Vanta) automates documentation workflows—evidence collection, control tracking, audit management. It proves you followed processes. Runtime compliance (ARMO, Sysdig) monitors actual system behavior and catches violations as they occur. It proves your environment is compliant right now.
They capture snapshots at scan time. Kubernetes environments change constantly—deployments, scaling events, GitOps updates. A scan from this morning doesn’t reflect this afternoon’s state. Only continuous runtime monitoring catches violations as they happen.
Configuration compliance checks what’s supposed to happen. Behavioral compliance checks what’s actually happening. A pod can be configured correctly—RBAC, network policies, resource limits all green—while running compromised code or connecting to unauthorized endpoints. Only runtime monitoring detects behavioral violations.
ARMO observes actual runtime behavior—syscalls, network connections, file access patterns—for each workload. When generating remediation, it checks that proposed changes align with observed behavior. A fix that would block a syscall your application actually uses gets flagged before you apply it. Learn more about smart remediation.
CIS Kubernetes Benchmark and NSA/CISA Kubernetes Hardening Guide address Kubernetes-specific risks that generic frameworks miss: RBAC misconfigurations, network policy gaps, pod security violations, admission controller settings. Generic frameworks like SOC 2 cover organizational controls but not Kubernetes technical implementation. See our comparison of Kubernetes security frameworks for more detail.
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