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From sentinel-stack
Compliance artifact generator. Auto-generates audit evidence from guardrail detections, 4-eyes review gates, and DLP scans. Maps control evidence to SOC 2 Type II, ISO 27001, NIST CSF, and GDPR Article 30. Generates evidence packages on demand for auditors and tracks control effectiveness over time. Use for audit preparation, compliance evidence collection, or SOC 2/ISO 27001 artifact generation.
How this skill is triggered — by the user, by Claude, or both
Slash command
/sentinel-stack:compliance-evidenceThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
**Aliases:** compliance evidence, audit evidence, SOC 2 evidence, ISO 27001, compliance artifact, audit preparation, control evidence, compliance documentation
Aliases: compliance evidence, audit evidence, SOC 2 evidence, ISO 27001, compliance artifact, audit preparation, control evidence, compliance documentation
Maturity: Production
Description: Auto-generate compliance artifacts from guardrail detections, 4-eyes review gates, and DLP scans. Map control evidence to SOC 2 Type II, ISO 27001, NIST CSF, and GDPR Article 30. Generate evidence packages on demand for auditors. Track control effectiveness over time and produce compliance dashboards.
Compliance is a byproduct of good operations. This skill turns every guardrail detection and human review into compliance evidence — the audit trail that proves you've implemented and are operating controls.
Instead of scrambling to gather evidence when auditors arrive, this skill:
No spreadsheets, no scrambling. Evidence generation is continuous.
Every guardrail action produces a compliance artifact:
DLP Hard Block → Data Classification & Loss Prevention Control
Guardrail Action:
Timestamp: 2026-04-12 14:32 UTC
Type: DLP Hard Block
Trigger: Health records (PHI) classification detected
Action: Data export blocked
Auto-Generated Compliance Evidence:
Framework: SOC 2 Type II
Control: CC6.1 (Logical Access Control Policy)
Evidence: System detected and blocked unauthorized access to
classified health data, per organizational data
classification policy. Incident log entry: BLOCK-2026-1847.
Framework: ISO 27001
Control: A.9.1.1 (Access Control Policy)
Evidence: Data access control enforced; unauthorized classification
prevented. System maintained tamper-evident log of block.
Framework: GDPR Article 32
Control: Pseudonymization & Encryption
Evidence: System prevents exposure of PII to unauthorized channels.
Hard block prevents any processing without proper safeguards.
Artifact ID: EVIDENCE-DLP-20260412-001
Mappings: [CC6.1, A.9.1.1, Article 32(1)(a)]
4-Eyes Review Gate → Segregation of Duties & Authorization Control
Guardrail Action:
Timestamp: 2026-04-12 15:18 UTC
Type: 4-Eyes Review Gate Triggered
Scenario: Purchase order > $500k requires executive approval
Requester: Manager A (dept: procurement)
Approver: Director B (dept: finance)
Decision: Approved
Documentation: Audit log with both signatures
Auto-Generated Compliance Evidence:
Framework: SOC 2 Type II
Control: CC7.2 (Segregation of Duties)
Evidence: System enforced segregation between requester and approver.
No single person can authorize and execute transactions above
threshold. Documented approval with audit trail.
Framework: COSO Internal Control Framework
Control: Authority & Responsibility (Principle 6)
Evidence: Defined approval authorities enforced; management approval
documented; financial transaction authorized by responsible
party (Director) separate from requester (Manager).
Framework: ISO 27001
Control: A.10.1.3 (Segregation of Duties)
Evidence: Access control enforced; incompatible duties separated.
Artifact ID: EVIDENCE-4EYES-20260412-001
Transaction ID: PO-2026-18472
Mappings: [CC7.2, COSO Principle 6, A.10.1.3]
DLP Soft Block (Monitored) → Data Loss Prevention & Monitoring Control
Guardrail Action:
Timestamp: 2026-04-12 16:45 UTC
Type: DLP Soft Block (Monitoring)
Trigger: Processing financial data with confidence 0.68 (below 0.75 threshold)
Action: Allowed, but flagged for monitoring & logging
Auto-Generated Compliance Evidence:
Framework: SOC 2 Type II
Control: CC3.2 (Monitoring Activities)
Evidence: System detected lower-confidence data classification and
continued monitoring. Audit log created. Daily monitoring
report generated for compliance review.
Framework: GDPR Article 30 (Records of Processing)
Evidence: Processing activity logged with classification confidence
metadata. Demonstrates org tracks data handling and risk level.
Framework: NIST CSF
Control: DE.AE-5 (Alerting)
Evidence: System alerted to lower-confidence classification; created
evidence artifact for follow-up review.
Artifact ID: EVIDENCE-DLP-SOFT-20260412-001
Mapping: [CC3.2, Article 30(1)(f), DE.AE-5]
Follow-up: Assigned to Compliance Officer for manual review
Behavioral Anomaly Detection → Fraud Detection & Investigation Control
Guardrail Action:
Timestamp: 2026-04-12 18:22 UTC
Type: Behavioral Anomaly Detected
Signal: Employee accessed 500+ records in 2 hours (3× normal pattern)
Action: Flagged for investigation
Auto-Generated Compliance Evidence:
Framework: SOC 2 Type II
Control: CC6.2 (Physical/Logical Access)
Evidence: Continuous monitoring detected anomalous access pattern.
Investigation initiated per incident response plan.
No unauthorized access occurred (access was authorized but
unusual volume).
Framework: COSO Internal Control Framework
Control: Monitoring Activities (Principle 16)
Evidence: Management monitoring of user access controls; anomaly
detection working as designed.
Framework: ISO 27001
Control: A.12.4.1 (Event Logging)
Evidence: System logging access behavior; anomalies trigger
investigation protocol.
Artifact ID: EVIDENCE-ANOMALY-20260412-001
Investigation Status: In Progress
Owner: CISO
Mappings: [CC6.2, COSO Principle 16, A.12.4.1]
Skill maintains a mapping table between internal guardrails and audit frameworks:
COMPLIANCE FRAMEWORK MAPPING
┌────────────────────────────────────────────────────────────────┐
│ Guardrail Action → Control Evidence → Framework Artifact │
├────────────────────────────────────────────────────────────────┤
│ DLP Hard Block → Data Loss Prevention Control │
│ SOC 2: CC6.1 (Logical Access) │
│ ISO 27001: A.9.1.1 (Access Control Policy) │
│ NIST CSF: AC-3 (Access Enforcement) │
│ GDPR: Article 32(1)(a) (Pseudonymization & Encryption) │
│ │
│ 4-Eyes Gate → Segregation of Duties │
│ SOC 2: CC7.2 (Segregation of Duties) │
│ ISO 27001: A.10.1.3 (Segregation of Duties) │
│ COSO: Principle 6 (Authority & Responsibility) │
│ GDPR: Article 5(2) (Integrity & Confidentiality) │
│ │
│ Behavioral Anomaly Detection → Continuous Monitoring │
│ SOC 2: CC3.2 (Monitoring Activities) │
│ ISO 27001: A.12.4.1 (Event Logging) │
│ NIST CSF: DE.AE-5 (Alerting) │
│ COSO: Principle 16 (Monitoring Activities) │
│ │
│ AI Risk Classification → Model Governance & Transparency │
│ EU AI Act: Articles 9-13 (Documentation) │
│ GDPR: Article 22 (Automated Decision-Making) │
│ ISO 27001: A.6.1.1 (Information Security Policy) │
│ NIST CSF: GV-1 (Governance & Risk Management) │
└────────────────────────────────────────────────────────────────┘
Scenario: Auditor requests evidence of access control implementation.
Skill generates:
AUDIT EVIDENCE PACKAGE: Access Control (SOC 2 CC6.1)
Generated: 2026-04-12
Auditor: [Big 4 Firm Name]
Request: Evidence of logical access control policy implementation
═════════════════════════════════════════════════════════════════
CONTROL OBJECTIVE CC6.1: Logical Access Policy Implemented
Evidence Artifacts:
1. Data Classification Policy (Document)
- Effective date: 2025-06-01
- Approval by: Chief Risk Officer
- File: /policies/data-classification-v2.pdf
2. DLP System Configuration (Technical)
- System: Sentinel Stack DLP Module
- Classification rules: 47 active patterns
- Last update: 2026-04-05
- Hard blocks configured for PII, PHI, PCI
3. Hard Block Incident Log (90 days)
- Period: 2026-01-12 to 2026-04-12
- Total blocks: 23
- Blocks by category:
* PII (SSN, passport): 8
* PHI (health records): 12
* PCI (credit cards): 3
- Effectiveness: 100% (no unauthorized data access)
- Example incidents: [BLOCK-2026-1847, BLOCK-2026-1823, ...]
4. Access Control Testing (Quarterly)
- Test date: 2026-03-01
- Scope: Random sample of 50 users
- Method: Attempted unauthorized data access
- Results: 49/50 blocked as designed, 1 required remediation
- Remediation: User retraining completed 2026-03-15
5. Monitoring & Alerting (Continuous)
- Daily monitoring reports: 90-day sample
- Alert thresholds configured and validated
- Alert response SLA: 4 hours (avg response time: 2.3 hours)
CONTROL FREQUENCY: Continuous
TESTING EVIDENCE: Quarterly + Incident Response
EFFECTIVENESS RATING: Effective (No design or operating deficiencies)
═════════════════════════════════════════════════════════════════
COMPLIANCE STATEMENT:
The organization has implemented and is operating a logical access
control policy that effectively prevents unauthorized access to
classified data. Evidence artifacts demonstrate:
✓ Policy documented and approved
✓ System controls configured and functioning
✓ Incidents monitored and logged
✓ Effectiveness tested quarterly
✓ No unauthorized access occurred
SOC 2 Type II Conclusion: CONTROL IS OPERATING EFFECTIVELY
═════════════════════════════════════════════════════════════════
Artifact Package Contents:
- 5 pieces of documentary evidence
- 90-day incident log (detailed)
- Quarterly test results (last 3 quarters)
- Daily monitoring reports (sample)
- System configuration export (technical)
- Management sign-off (CRO & CISO)
Package ID: PKG-CC6.1-20260412-001
Prepared by: Compliance Evidence Skill
QA Checked: 2026-04-12 by Compliance Officer
Auditor can now assess whether control is "operating effectively" vs. "design deficiency" vs. "operating deficiency."
Every data processing activity auto-generates a Record of Processing:
RECORD OF PROCESSING (GDPR Article 30)
Processing ID: PROC-2026-004
Activity: Customer Transaction Monitoring
1. NAME & PURPOSE OF PROCESSING
Name: Transaction Fraud Detection & Prevention
Purpose: Identify potentially fraudulent transactions; protect
customers and company from financial loss
2. LEGAL BASIS
Article 6(1)(f): Legitimate interest (fraud prevention)
3. DATA CONTROLLER
Company Name: [Org Name]
Contact: dpo@[org].com
4. DATA CATEGORIES PROCESSED
- Transaction amount
- Merchant category
- Geographic location
- Timestamp
- Historical spending pattern
5. SPECIAL CATEGORY DATA (If applicable)
None processed in this activity
6. RECIPIENT CATEGORIES
- Fraud Investigation Team (internal)
- Payment processor (third party)
- Law enforcement (if suspected fraud confirmed)
7. RETENTION PERIOD
- Transactions: 3 years (retained for regulatory reporting)
- Flagged fraud cases: 7 years (potential litigation)
8. TECHNICAL & ORGANIZATIONAL MEASURES
✓ Encryption in transit (TLS 1.3)
✓ Encryption at rest (AES-256)
✓ Access control (role-based)
✓ Anomaly detection (continuous monitoring)
✓ Regular backups (daily)
✓ Incident response plan (tested quarterly)
9. AUTOMATED DECISION-MAKING (Article 22)
Does this involve automated decision-making with legal effect?
Yes: Transactions flagged as fraudulent may be declined.
Safeguards:
✓ Human review if flagged (optional customer escalation)
✓ Explanation provided to customer on request
✓ Right to object: Customer can contact fraud team
✓ Appeal process: Documented and tested
10. INTERNATIONAL TRANSFERS
No transfers outside EU/EEA
11. CONTACT FOR QUESTIONS
Data Protection Officer: dpo@[org].com
Privacy Team: privacy@[org].com
═════════════════════════════════════════════════════════════════
Auto-generated from Sentinel Stack on 2026-04-12
Last reviewed: 2026-04-10
Next review: 2026-05-10 (mandatory quarterly review)
This becomes the evidence for GDPR Article 30 compliance.
Skill tracks: Are controls actually reducing risk?
CONTROL EFFECTIVENESS METRICS (90-day rolling)
Control: DLP Hard Block (Data Classification)
Objective: Prevent unauthorized access to sensitive data
Metrics:
Effectiveness: 100% (23/23 blocks successful; 0 unauthorized access)
Detection rate: 23 incidents detected per quarter
False positive rate: 0% (all blocks were legitimate blocks)
Time to block: < 100ms (median)
Trend (Last 4 quarters):
Q4 2025: 15 blocks
Q1 2026: 23 blocks (↑ 53%)
Interpretation: More detections = more enforcement activity;
either more violations occurring OR better detection.
Root cause analysis: New healthcare client (vertical expansion);
staff training gap. (MITIGATE: training in progress)
Risk Reduction Impact:
Before control: 0 blocks, potential data breaches (unquantified)
After control: 23/23 attempts blocked; 0 breaches
Effectiveness: HIGH (preventive control working)
═════════════════════════════════════════════════════════════════
Control: 4-Eyes Approval Gate (Segregation of Duties)
Objective: Prevent unauthorized financial transactions
Metrics:
Transactions requiring approval: 18 (per quarter)
Approvals granted: 16
Approvals denied: 2 (flagged as policy violations)
Approval time: 4.2 hours (median)
Audit sample: 10/18 sampled; all correctly approved
Trend (Last 4 quarters):
Q4 2025: 12 approvals
Q1 2026: 18 approvals (↑ 50%)
Interpretation: More high-value transactions; approvals working as
designed. 2 denials indicate proper policy enforcement.
Risk Reduction Impact:
Before control: Manual approval, risk of collusion
After control: System-enforced segregation; documented audit trail
Effectiveness: HIGH (operating as designed)
These metrics feed audit readiness dashboards and board reports.
Skill generates a live compliance status dashboard:
COMPLIANCE READINESS DASHBOARD
═════════════════════════════════════════════════════════════════
FRAMEWORK: SOC 2 Type II
Control Implementation Status:
✓ Access Control (CC6.1, CC6.2) 100% [Evidence ready]
✓ Risk Assessment (CC3.1) 95% [1 minor gap]
✓ Change Management (CC7.3) 100% [Evidence ready]
✓ Segregation of Duties (CC7.2) 100% [Evidence ready]
✓ Monitoring Activities (CC3.2) 100% [Evidence ready]
→ OVERALL SOC 2 READINESS: 99%
Evidence Coverage:
Total controls: 17
Fully evidenced: 16
Partially evidenced: 1 (CC3.1 - Design gap in policy approval workflow)
Not evidenced: 0
Audit Readiness: READY (Minor remediation before audit)
Last audit: 2024-06-15
Next audit: 2026-06-15 (14 months away)
═════════════════════════════════════════════════════════════════
FRAMEWORK: ISO 27001
Control Status:
A.5 (Governance) 95% [1 policy update pending]
A.6 (HR Security) 100%
A.7 (Asset Management) 100%
A.8 (Access Control) 100%
A.9 (Cryptography) 100%
A.10 (Physical & Environmental) 90% [2 office locations]
A.11 (Operations) 95%
A.12 (Communications) 100%
→ OVERALL ISO 27001 READINESS: 97%
Evidence Quality: HIGH
- 167 total control evidence artifacts generated
- 89% from automated guardrail detection
- 11% from manual documentation
Audit Readiness: READY
Last certification: 2023-09-30
Recertification due: 2026-09-30 (17 months away)
═════════════════════════════════════════════════════════════════
FRAMEWORK: GDPR Article 30 (Records of Processing)
Records Complete:
Total processing activities: 43
Documented: 42
Missing documentation: 1 (new activity added this month)
Articles 30-35 Compliance:
✓ Data Protection Impact Assessments: 8/8 for high-risk processing
✓ Data Processing Agreements: 12/12 with third parties
✓ Breach notification procedure: Documented & tested
✓ DPO contact info: Published on website
Compliance Status: 98%
Inspection Readiness: READY
Last GDPR audit (self-assessment): 2026-02-01
═════════════════════════════════════════════════════════════════
OUTSTANDING ITEMS (Action Required):
1. CC3.1 (Risk Assessment Policy) - ISO 27001
Owner: Chief Risk Officer
Deadline: 2026-04-20
Status: In Progress (80%)
2. A.5 (Governance Policy Update) - ISO 27001
Owner: CISO
Deadline: 2026-04-15
Status: Awaiting Legal review
3. PROC-2026-NEW (Record of Processing) - GDPR
Owner: DPO
Deadline: 2026-04-20
Status: Data gathering in progress
═════════════════════════════════════════════════════════════════
AUDITOR PACKAGE READY FOR DOWNLOAD:
SOC 2 Type II: Full evidence package (500+ pages)
ISO 27001: Full evidence package (800+ pages)
GDPR Article 30: Records of Processing (45 records)
Next scheduled audit: 2026-06-15 (SOC 2)
Estimated readiness: 100% (if outstanding items completed on schedule)
Guardrail Layer
│
├─ DLP Hard Block
├─ 4-Eyes Gate
├─ Behavioral Anomaly
└─ AI Risk Classification
↓
Compliance Evidence Layer
├─ Auto-map to control
├─ Assign to frameworks
├─ Generate artifact
└─ Track effectiveness
↓
Audit Evidence Package
├─ SOC 2 Type II evidence
├─ ISO 27001 evidence
├─ GDPR Article 30 records
├─ NIST CSF mapping
└─ Ready for auditor review
Trigger Phrases:
Example Prompt:
Skill: compliance-evidence
Generate a complete SOC 2 Type II evidence package for controls
CC6.1, CC6.2, CC7.2, and CC3.2. Include incident logs from the
last 90 days, quarterly testing results, and a summary of control
effectiveness. Use the auditor template.
Expects config/org-config.yaml:
compliance-evidence:
frameworks:
- SOC 2 Type II
- ISO 27001
- GDPR Article 30
- NIST CSF
controls-mapping:
dpl-hard-block:
- "CC6.1"
- "A.9.1.1"
- "AC-3"
four-eyes-gate:
- "CC7.2"
- "A.10.1.3"
- "COSO Principle 6"
behavioral-anomaly:
- "CC3.2"
- "A.12.4.1"
- "DE.AE-5"
audit-schedule:
soc2: "2026-06-15" # Next audit date
iso27001: "2026-09-30" # Recertification date
gdpr: "continuous" # No formal audit, but Article 30 reviewed quarterly
retention-policy:
evidence-artifacts: "P7Y" # 7 years
incident-logs: "P3Y" # 3 years
test-results: "P3Y" # 3 years
ai-governance skill — Provides AI system classification & governance artifactsrisk-register skill — Risk scoring & treatment tracking (inputs to control effectiveness)DLP guardrails — Core detection mechanism that feeds evidence generationnpx claudepluginhub aadityaparab/sentinel-stack --plugin sentinel-stackGuides continuous privacy compliance monitoring implementation via automated control tests, evidence collection, real-time dashboards, alert remediation, and compliance-as-code. For GRC platform config.
Provides senior GRC analyst expertise across 15 frameworks including NIST 800-53, FedRAMP, FISMA, CMMC, SOC 2, ISO 27001. Supports control lookups, cross-mapping, document review, audit prep, compliance workflows.
Tracks compliance status across SOC 2, ISO 27001, NIST, PCI, HIPAA frameworks. Monitors control implementation, identifies gaps, analyzes evidence folders and audit reports, generates dashboards and reports.