RHACS 4.8 Compliance: What's Actually Fixed vs What's Still Broken

RHACS 4.8 Compliance:

What's Actually Fixed vs What's Still Broken

RHACS Compliance Dashboard

Look, RHACS 4.8 fixed some shit, but it's still not the magical compliance solution Red Hat sells you on.

I've been running it in production since the 4.8 GA release in July 2025, and here's what actually changed versus what's still a pain in the ass.

The compliance scanning used to fail with completely useless errors like "scan failed: internal error"

  • turns out it was memory limits every damn time.

That's mostly fixed now

  • the 4.8 release finally includes proper error reporting when scans fail. But the scanner still hits memory limits on larger clusters and dies silently. Pro tip: RHACS 4.8.1 has a memory leak in the network flow migration that killed our dev cluster during upgrade.

Pin to 4.8.3 or later.

What Compliance Standards Actually Work

Standards that work out of the box:

RHACS gets about 90% of these right. The remaining 10% are edge cases where your environment doesn't match CIS assumptions

Publications/NIST.

SP.800-190.pdf) map well to RHACS capabilities, but expect to tune policies for weeks

Standards that need heavy customization:

  • HIPAA
  • Works but requires massive policy tuning.

Every healthcare org has different PHI classification rules

RHACS helps with technical controls but won't handle your network segmentation headaches

  • SOC 2
  • Good for security criteria, useless for availability and processing integrity

What doesn't work:

The compliance operator works but generates different findings than RHACS native scanning, confusing your auditors

Kubernetes Security Architecture

RHACS 4.8:

What Actually Got Better

OpenShift Infrastructure Compliance Actually Works Now
The infrastructure compliance operator finally graduated from tech preview hell. RHACS infrastructure scanning now works with the compliance operator without crashing every other scan.

But it's still slow as fuck

  • budget 30 minutes per cluster.

Compliance Reports Don't Die When One Cluster Fails

This was a massive pain point. If any cluster in your fleet failed scanning, you'd get zero compliance reporting. 4.8 fixes this

  • failed clusters get marked as "scan failed" instead of breaking everything.

Policy as Code Is Finally Stable
Policy as Code moved from "tech preview that will eat your homework" to "actually works in production." You can manage policies as Kubernetes custom resources and integrate with GitOps workflows.

The CRD validation is solid and won't accept broken policy configs anymore.

RHACS Risk Management Dashboard

What RHACS Actually Collects (And What It Misses)

The compliance scanner grabs a shit-ton of data from your clusters, but understanding what it actually captures versus what auditors want to see is critical:

What it captures well:

Container Security Workflow

What it struggles with:

  • File system permissions on worker nodes

  • hit or miss depending on your node setup

  • Runtime behavior analysis generates tons of false positives in microservice environments

  • Supply chain verification works great until you have private registries with custom cert chains

What auditors want but RHACS doesn't provide:

  • Data flow diagrams showing where PHI/PCI data actually goes

  • Change management audit trails for infrastructure modifications

  • Business process documentation linking technical controls to compliance requirements

The scanner is a resource hog on big clusters.

Had to bump memory limits after it kept crashing on our 400+ node production cluster.

Regulatory Reality Check

**HIPAA

  • Healthcare's Special Hell:**
    HIPAA technical safeguards sound straightforward until you realize every hospital defines PHI differently.

RHACS can enforce encryption and access controls, but you'll spend more time arguing with your legal team about data classification than configuring policies.

Real implementation time: 4-6 months, not the 6-8 weeks consultants promise.

Most of that time is figuring out which workloads actually process PHI versus which ones just might.

**PCI DSS

Network segmentation requirements mean your microservices architecture just became a compliance clusterfuck. RHACS helps with vulnerability scanning and access control, but won't solve your network isolation headaches.

Expect your PCI audit to take 6 months longer than planned because your auditor will question every network policy exception.

**SOC 2

RHACS collects great technical evidence, but your auditor wants process documentation and change management records.

Type II audits are 12 months of documentation hell. RHACS automates evidence collection but someone still needs to write all the process documents auditors demand.

DevSecOps Pipeline Integration

Enterprise Integration Hell

Automated Evidence Collection (That GRC Teams Hate):

RHACS generates tons of compliance evidence, but in formats that don't play nice with enterprise GRC tools.

You'll build custom export scripts for every audit cycle. ServiceNow GRC integration exists but requires custom API work.

Continuous Monitoring (That Creates Alert Fatigue):
Real-time compliance alerting sounds great until you're getting 200 alerts per day for policy violations that don't actually matter.

Tuning takes months and your SecOps team will hate you.

Third-Party Integration (API Hell):
Integrating with Splunk, Archer, or other GRC platforms requires custom development.

Budget 3-4 weeks because Service

Now's GRC API documentation was clearly written by someone who's never used it. Half the endpoints don't work as documented, and plan for ongoing maintenance when vendors change their APIs.

Now that you understand what actually works and what's broken in RHACS 4.8, let's look at the real implementation timelines for each compliance framework. Spoiler alert: they're all longer than Red Hat claims.

Compliance Framework Reality Check Matrix

Framework

RHACS Support Level

Implementation Complexity

Real Timeline

What Usually Breaks

Auditor Bullshit Factor

CIS Kubernetes Benchmark

Works well, 90% coverage

Low

  • mostly automated

2-4 weeks if lucky

Legacy apps violate pod security policies

Low

  • auditors understand these

NIST SP 800-190

Good mapping to capabilities

Medium

  • lots of tuning

6-8 weeks realistic

Policy exceptions kill automation

Medium

  • depends on auditor experience

HIPAA

Requires heavy customization

High

  • data classification hell

4-6 months minimum

PHI definition arguments with legal

High

  • every auditor interprets differently

PCI DSS

Technical controls only

Very High

  • network segmentation nightmare

6-12 months

Network policies break microservices

Very High

  • auditors are paranoid

SOC 2 Type II

Good for security criteria

High

  • documentation grind

12-18 months

Process documentation gaps

Medium

  • standardized but lengthy

OpenSCAP (OpenShift)

Buggy integration

Medium

  • when it works

4-8 weeks

Compliance operator crashes

High

  • scanning inconsistencies

How to Actually Implement RHACS Compliance (Without Losing Your Sanity)

I've done this dance five times across different regulatory frameworks. Here's what actually works versus the bullshit Red Hat tells you in sales demos. Skip the marketing slides and focus on these implementation realities.

Kubernetes Security Components

HIPAA isn't just a technical problem - it's a legal and organizational clusterfuck. I spent 6 months on one HIPAA implementation, and 4 months of that was arguing with lawyers about PHI classification. The PCI implementation at my last company took 14 months because the auditor decided halfway through that our microservices needed dedicated network segments. Classic scope creep.

What you'll actually spend time on:

  1. PHI identification (2-3 months) - Figuring out which workloads actually process PHI
  2. Policy tuning (1-2 months) - Getting RHACS policies to match your security requirements
  3. Legal approval (1-2 months) - Getting lawyers to sign off on technical controls
  4. Documentation (ongoing) - Writing process docs that auditors actually want

RBAC that actually works:

## Realistic HIPAA RBAC - not the toy example Red Hat shows
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: phi-limited-access
rules:
- apiGroups: [""]
  resources: ["pods", "pods/log"]
  verbs: ["get", "list"]
  resourceNames: ["phi-*"]
- apiGroups: ["apps"]
  resources: ["deployments"]
  verbs: ["get", "list"]
  resourceNames: ["phi-*"]
## No create, update, delete without MFA

Technical controls that actually matter:

RHACS policy enforcement can automate some HIPAA technical safeguards, but you'll still need manual processes for the stuff RHACS can't handle.

Real HIPAA scanning command:

## What actually works for HIPAA scanning
roxctl compliance scan --standard=CIS_Kubernetes_v1.5.1 \
  --cluster=production \
  --output-format=json > scan_results.json

## No HIPAA-specific standard exists - use CIS + custom policies

PCI DSS: Network Segmentation Nightmare

PCI DSS is fucking brutal. The network segmentation requirements will make you question your microservices architecture. I've seen PCI implementations take 12+ months because nobody planned for the isolation requirements.

Container Architecture Diagram

Network segmentation reality check:

PCI auditors are paranoid about cardholder data environment (CDE) isolation. Network policies help but won't solve your fundamental architecture problems.

## PCI network policy that actually works (but breaks everything else)
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: cde-isolation
  namespace: payment-processing
spec:
  podSelector:
    matchLabels:
      pci-scope: "cde"
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - namespaceSelector:
        matchLabels:
          pci-zone: "payment-gateway"
    ports:
    - protocol: TCP
      port: 8443
  egress:
  - to: []  # Deny all egress by default
    ports: []
## This will break service mesh, monitoring, and probably your sanity

PCI vulnerability scanning reality:

PCI Requirement 6 vulnerability timelines are aggressive. RHACS Scanner V4 is faster than the old scanner but won't save you from organizational dysfunction.

  • Critical CVEs: 30 days to remediate (good luck with legacy Java apps)
  • High CVEs: 90 days (more realistic but still tight)
  • Quarterly external scans: Required and expensive ($10-50K annually)
  • Change management: Every CDE deployment needs vulnerability approval

PCI approval workflows are slow as hell. Budget months, not weeks, for anything touching card data.

SOC 2: Documentation Hell Disguised as Security

SOC 2 Type II is 12 months of proving your controls work consistently. RHACS provides good technical evidence, but you'll spend more time writing process documents than configuring security.

What SOC 2 auditors actually want:

SOC 2 auditors care more about process documentation than technical controls. RHACS helps with the security criteria, but you'll write policies and procedures for everything else.

Controls that RHACS handles well:

Controls RHACS can't help with:

  • Change management processes (you need written procedures)
  • Vendor risk management (manual assessment and documentation)
  • Business continuity planning (RHACS doesn't write your disaster recovery plan)
  • Employee background checks (obviously)

The real SOC 2 implementation timeline:

  • Months 1-3: Write policies and procedures (most of your time)
  • Months 4-6: Implement technical controls (RHACS configuration)
  • Months 7-18: Collect evidence and prove effectiveness
  • Month 19+: Audit preparation and remediation

RHACS automates evidence collection for security controls, but someone still needs to document all the business processes. Plan accordingly.

OpenSCAP Integration: When the Compliance Operator Actually Works

OpenSCAP integration with the OpenShift Compliance Operator is hit or miss. When it works, it's great. When it doesn't, you'll spend days debugging scan failures.

OpenSCAP that actually works:

## Compliance operator config that won't crash
apiVersion: compliance.openshift.io/v1alpha1
kind: ScanSettingBinding
metadata:
  name: moderate-compliance
spec:
  profiles:
  - name: ocp4-moderate  # Don't use 'high' profiles - they're broken
    kind: Profile
    apiGroup: compliance.openshift.io/v1alpha1
  settingsRef:
    name: default
    kind: ScanSetting
    apiGroup: compliance.openshift.io/v1alpha1

What you'll spend time on:

  • Debugging why compliance operator pods crash (1-2 weeks)
  • Tuning scan schedules so they don't kill your clusters (ongoing)
  • Explaining to auditors why RHACS and OpenSCAP give different results (every audit)

Monitoring That Won't Drive You Insane

Continuous compliance monitoring sounds great until you're getting 200 alerts per day. Here's how to set up monitoring that actually helps instead of creating alert fatigue.

Realistic compliance alerting:

## Prometheus rules that won't spam you
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
  name: compliance-violations-sane
spec:
  groups:
  - name: compliance.rules
    rules:
    - alert: CriticalComplianceViolation
      expr: increase(stackrox_policy_violations_total{severity="CRITICAL"}[1h]) > 5
      labels:
        severity: warning  # Not critical - you'll get alert fatigue
      annotations:
        summary: "Multiple critical compliance violations"
        description: "{{ $value }} critical violations in last hour"
    
    - alert: ComplianceScanFailed
      expr: up{job="stackrox-scanner"} == 0
      for: 30m  # Give it time to recover
      labels:
        severity: critical
      annotations:
        summary: "Compliance scanning is down"

Evidence collection reality check:

RHACS collects tons of evidence, but auditors want it in specific formats:

  • Prometheus metrics for compliance trends (auditors love charts)
  • Grafana dashboards showing compliance posture over time
  • Raw audit logs stored for 7+ years (expensive)
  • Custom export scripts for every GRC platform your company uses

Enterprise GRC Integration Hell

Every enterprise has different GRC tools, and none of them speak RHACS natively. You'll build custom integrations for everything.

Budget for these integrations:

  • ServiceNow GRC: weeks of development
  • Splunk: log shipping and parsing takes time
  • Archer GRC: weeks (their APIs suck)
  • Whatever custom tool your compliance team bought: longer than you think

The good news: Once you build these integrations, compliance reporting becomes mostly automated. The bad news: You'll maintain these integrations forever as vendors change APIs.

Reality check: RHACS is a solid compliance tool, but it's not magic. Plan for 6-12 months of implementation and tuning before you have a compliance program that actually works.

Now that you've seen the implementation reality, let's address the questions everyone has but is too embarrassed to ask. These are the real-world problems you'll hit that nobody talks about in the official documentation.

FAQ: The Questions Everyone's Too Embarrassed to Ask

Q

Why is my HIPAA implementation taking 6 months when you said 12 weeks?

A

Because you believed Red Hat's sales team.

HIPAA isn't just technical controls

  • it's arguing with lawyers about PHI definitions, getting approvals for policy exceptions, and discovering that half your workloads process PHI and nobody documented it.Real timeline: 4-6 months minimum. Add another 3 months if your legal team has opinions about everything.
Q

Why does RHACS compliance scanning kill my dev clusters every Tuesday?

A

The compliance scanner is a resource hog. On big clusters, it'll eat all your memory and spike CPU like crazy. Your dev clusters probably can't handle it.Fix: Run compliance scans during maintenance windows, not during peak dev hours. Or throw more memory at it if you want real-time scanning.

Q

Can RHACS automatically fix compliance violations?

A

Hell no. Auto-remediation sounds great until it deletes your production database because of a pod security policy violation. RHACS can prevent new violations through admission controllers, but fixing existing violations requires human decisions.Exception: Some CIS controls can be auto-remediated through Kubernetes policies, but test extensively before enabling in production.

Q

Why do I have 500 compliance violations that don't actually matter?

A

Because RHACS policy defaults are paranoid. Every privileged container, host mount, and network policy exception gets flagged. Most are false positives that require policy tuning.Budget 2-3 months tuning policies to match your actual security requirements. Your security team will spend more time configuring exceptions than fixing real issues.

Q

What compliance evidence does RHACS actually generate for auditors?

A

RHACS spits out tons of evidence, but in formats your GRC team hates:

  • PDF reports that look like they're from 2015
  • CSV exports missing half the fields auditors want
  • JSON API data requiring custom scripts to make readable

Real talk: You'll build custom reporting for every audit. RHACS evidence is a starting point, not the final deliverable.

Q

How do I handle legacy apps that violate every security policy?

A

Welcome to enterprise reality. Your 10-year-old Java monolith runs as root, mounts host paths, and needs privileged access. RHACS will flag it for every possible violation.

Create policy exceptions with:

  • Business justification ("this app makes us $10M/year")
  • Compensating controls (network segmentation, additional monitoring)
  • Remediation timeline ("we'll containerize it properly by 2027")

Document everything because auditors will ask why you're allowing security violations.

Q

Does RHACS integrate with ServiceNow/Splunk/Archer without custom development?

A

Fucking no. RHACS has APIs, but every GRC platform wants data in different formats. You'll spend weeks building custom integrations for ServiceNow GRC, Splunk SOAR, or whatever enterprise tool your compliance team loves.Budget ongoing maintenance because vendors change APIs frequently and break your integrations.

Q

What's the real cost of RHACS compliance implementation?

A

Red Hat's pricing is just the beginning. Way more expensive than the license cost upfront:

  • RHACS licenses are the small part - expect significant additional costs
  • Storage for all those audit logs gets expensive fast
  • Custom integrations with your GRC tools aren't cheap
  • You'll need dedicated engineering time for ongoing tuning
  • Training costs add up

Total real cost: way more expensive than they tell you upfront. Plan accordingly.

Q

How do I upgrade RHACS without breaking compliance?

A

Carefully. RHACS upgrades can change policy definitions, scan results, and report formats - all things that will piss off your auditors.

Upgrade process that won't get you fired:

  1. Test upgrade in staging environment first (obvious but people skip this)
  2. Run compliance scans before and after upgrade to compare results
  3. Document any policy changes in upgrade notes for auditors
  4. Schedule upgrades during maintenance windows with rollback plans
  5. Re-run compliance scans immediately after upgrade to catch issues

The 4.7 to 4.8 upgrade broke SOC 2 compliance scans for 3 weeks at one client. Learn from their pain.

Q

Does RHACS work in air-gapped environments?

A

Yes, but it's a pain in the ass. Air-gapped RHACS requires:

  • Manual vulnerability database updates via disconnected update processes
  • Offline compliance content that gets stale quickly
  • Custom documentation explaining to auditors why your scan results are 3 months old

Air-gapped compliance is possible but adds 2-3x operational overhead. Budget accordingly.

Q

How do I prove to auditors that compliance monitoring actually works?

A

Auditors want proof that you're continuously monitoring compliance, not just running scans when they show up. Here's what actually works:

Evidence that auditors accept:

  • Scheduled weekly compliance scans with consistent reporting
  • Alert logs showing violations detected and remediated
  • Grafana dashboards tracking compliance posture over time
  • Documented response procedures for compliance violations

Evidence that doesn't work:

  • Screenshots of the RHACS dashboard
  • One-time compliance reports generated for the audit
  • Saying "trust us, we monitor everything"

Pro tip: Set up Prometheus monitoring to track compliance metrics over time. Auditors love charts showing compliance trends.

Q

What happens when compliance violations break production deployments?

A

Don't panic (yet). RHACS admission controllers can block deployments that violate compliance policies, but you need tiered response procedures to avoid breaking everything:

Critical violations that should block deployments:

  • Containers running as root with no security context
  • Privileged containers without business justification
  • Images with critical CVEs over 30 days old

Violations that should warn but not block:

  • Missing resource limits (annoying but not dangerous)
  • Non-standard labels or annotations
  • Image scan results pending

Set policies to "inform" mode initially to understand your violation patterns. Switching to "enforce" mode without proper tuning will break everything and make developers hate you.

Q

How do I scope compliance requirements for multi-tenant Kubernetes environments?

A

Use namespace-based policy scoping to apply different compliance requirements to different tenants or applications. Implement network segmentation between tenants with different compliance requirements. Create separate compliance profiles for different tenant risk levels, and document tenant isolation controls for auditors. Consider using dedicated clusters for highest-risk compliance requirements.

Q

Can RHACS compliance features support international regulations like GDPR?

A

RHACS doesn't have a magic GDPR button, but its security controls cover the technical bits

  • data encryption, access controls, and audit logging. Problem is GDPR compliance needs way more organizational process bullshit like data protection impact assessments and consent management that no container security platform handles. You'll still need lawyers and process documentation for the business side.
Q

How do I validate RHACS compliance reports for audit accuracy?

A

Don't trust RHACS reports blindly

  • auditors will spot-check them. Have your team manually validate a sample of findings against actual configs. I learned this the hard way when an auditor found that RHACS was flagging compliant network policies as violations due to a labeling bug. Cross-reference findings with penetration test results and document your scanning procedures so auditors can see you're not just pushing buttons.
Q

What training is required for teams managing RHACS compliance implementations?

A

Red Hat's DO430 training is decent but doesn't cover the war stories. Security engineers need 40-80 hours learning policy configuration and compliance scanning

  • but budget extra time for the shit that breaks. Compliance teams need 20-40 hours figuring out how to translate RHACS technical gibberish into regulatory speak. Operations teams need basic training on monitoring and evidence collection, plus the troubleshooting skills to explain why scans failed during the audit.
Q

How do I handle compliance requirements that change between audit cycles?

A

Version control everything or you're fucked when requirements change mid-audit. I keep all RHACS policies in Git with clear mapping to regulatory controls so when auditors move the goalposts, I can show exactly what changed and why. When new requirements drop, test policy changes in staging first

  • I once pushed a PCI policy update that blocked all payments for 2 hours because I didn't test the network policy exceptions.
Q

Can RHACS support compliance for both cloud and on-premises deployments?

A

Yeah, RHACS handles hybrid environments but each one has its own bullshit to deal with. Cloud deployments are easier for policy enforcement but harder for network segmentation compliance. On-prem gives you more control but breaks when your datacenter team "optimizes" the network without telling anyone. Centralized reporting works great until you hit cross-environment network latency issues and scans time out randomly.

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