compliance-audit

name	compliance-audit
description	Regulatory compliance auditing across GDPR, HIPAA, PCI DSS, SOC 2, and ISO frameworks with automated evidence collection and gap analysis. Use when conducting compliance assessments, preparing for certifications, or implementing regulatory controls.
version	1.0.0
tags	["compliance","audit","regulatory","security","privacy"]
triggers	["compliance audit","regulatory assessment","GDPR compliance","HIPAA assessment","PCI DSS certification","SOC 2 readiness","ISO 27001 alignment","evidence collection","gap analysis"]
dependencies	{"skills":["secure-coding-practices","owasp-top-10"],"tools":["Read","Write","Bash","Grep","Glob"]}
token_estimate	~3000
keywords	["compliance audit","GDPR","HIPAA","PCI DSS","regulatory","compliance","audit"]

Compliance Audit

Systematic regulatory compliance auditing with automated evidence collection, control mapping, gap analysis, and remediation planning across major compliance frameworks.

When to Use This Skill

• Conducting compliance assessments for GDPR, HIPAA, PCI DSS, SOC 2, or ISO 27001
• Preparing for external audits or certifications
• Building or validating compliance control frameworks
• Automating evidence collection and audit trail maintenance
• Performing gap analysis against regulatory requirements
• Creating remediation plans for compliance deficiencies
• Evaluating third-party vendor compliance posture

Quick Reference

Resource	Purpose	Load when
references/frameworks.md	Key requirements, control mappings, and certification paths for GDPR, HIPAA, PCI DSS, SOC 2, ISO 27001	Scoping which regulations apply
references/evidence-collection.md	Automated evidence gathering, artifact organization, retention policies, audit trail patterns	Setting up or running evidence collection
references/gap-analysis.md	Control mapping methodology, gap identification, risk scoring, remediation planning	Analyzing compliance gaps

---

Workflow Overview

Phase 1: Scope       → Identify applicable regulations, data types, and geographical scope
Phase 2: Assess      → Map controls, review policies, analyze data flows, test implementations
Phase 3: Evidence    → Collect and organize audit artifacts automatically
Phase 4: Gap Analyze → Identify control gaps, score risks, prioritize findings
Phase 5: Remediate   → Create remediation plans, assign owners, set timelines
Phase 6: Report      → Generate audit-ready documentation and compliance dashboards
Phase 7: Monitor     → Establish continuous compliance monitoring and drift detection

---

Phase 1: Scope the Audit

Determine the regulatory landscape before testing anything.

Key questions:

• What data types does the system process (PII, PHI, cardholder data)?
• What jurisdictions apply (EU, US states, industry-specific)?
• What existing controls and certifications are in place?
• What is the audit history and any prior findings?

Applicability matrix:

Framework	Applies when
GDPR	Processing personal data of EU residents
HIPAA	Handling protected health information (PHI)
PCI DSS	Storing, processing, or transmitting cardholder data
SOC 2	Providing services where trust principles matter
ISO 27001	Organization wants certified ISMS
CCPA/CPRA	Collecting California consumer personal information
NIST CSF	Federal systems or voluntary cybersecurity framework adoption

---

Phase 2: Assess Current State

Control Inventory

Map existing controls against the applicable framework requirements:

1. Enumerate all technical controls (encryption, access control, logging)
2. Enumerate all administrative controls (policies, training, procedures)
3. Enumerate all physical controls (facility access, media handling)
4. Map each control to specific framework requirements
5. Test control effectiveness through sampling and verification

Data Flow Analysis

• Map data ingress, processing, storage, and egress points
• Identify data classification for each flow
• Document lawful basis for processing (GDPR)
• Verify data minimization and purpose limitation
• Review cross-border transfer mechanisms

Policy Review

• Assess policy coverage against framework requirements
• Verify policy distribution and acknowledgment
• Check policy version control and update cadence
• Validate exception management processes

---

Phase 3: Evidence Collection

Load references/evidence-collection.md for detailed patterns.

Automation priorities:

1. Configuration exports from cloud providers and infrastructure
2. Access control lists and permission matrices
3. Log retention and monitoring dashboards
4. Vulnerability scan results and patch status
5. Training completion records
6. Incident response test results

Artifact organization:

evidence/
  {framework}/
    {control-id}/
      artifact-{date}.{ext}
      metadata.yaml           # source, collection method, timestamp

---

Phase 4: Gap Analysis

Load references/gap-analysis.md for the full methodology.

For each framework requirement:

1. Map to existing controls (full, partial, or none)
2. Assess implementation effectiveness
3. Score the gap by risk impact and likelihood
4. Categorize as documentation, process, technology, or training gap
5. Prioritize based on risk score and remediation effort

---

Phase 5: Remediation Planning

For each identified gap:

Field	Content
Gap ID	Unique identifier
Framework Requirement	Specific clause or control
Current State	What exists today
Target State	What compliance requires
Remediation Action	Specific steps to close the gap
Owner	Responsible person/team
Priority	P0-P4 based on risk score
Timeline	Target completion date
Dependencies	Other gaps or actions this depends on

---

Phase 6: Reporting

Generate audit-ready documentation:

• Executive summary: Compliance posture, key risks, readiness score
• Technical findings: Detailed control assessment results
• Risk matrix: Heat map of gaps by severity and likelihood
• Remediation roadmap: Prioritized timeline with owners
• Evidence package: Organized artifacts indexed to controls
• Compliance attestation: Framework-specific certification readiness

---

Phase 7: Continuous Monitoring

Establish ongoing compliance posture management:

• Configure automated scanning for drift detection
• Set alert thresholds for control degradation
• Schedule periodic re-assessment cadence
• Track remediation progress against timelines
• Maintain metric dashboards (control coverage, evidence freshness, audit readiness)

---

Core Principles

1. Evidence over assertion — every compliance claim must be backed by verifiable artifacts
2. Automate first — manual evidence collection does not scale and introduces errors
3. Risk-based prioritization — address the highest-risk gaps first
4. Continuous posture — compliance is a state, not a one-time event
5. Defense in depth — layer controls so single-point failures do not cause non-compliance

Anti-Patterns

• Treating compliance as a checkbox exercise without testing control effectiveness
• Collecting evidence manually when automation is available
• Ignoring gaps because "we've always done it this way"
• Waiting until audit season to gather evidence
• Conflating compliance with security (compliance is a subset)
• Skipping third-party/vendor compliance assessments