🔮 Black Trigram (흑괘) Future CI/CD Workflows

This document outlines the planned evolution of Black Trigram's CI/CD workflows, detailing future improvements, advanced automation strategies, and next-generation security controls aligned with Hack23 AB's Secure Development Policy and strategic roadmap.

🚨 Deployment Status Note: As of Q1 2026, Black Trigram uses automated AWS S3 deployment via GitHub Actions (deploy-s3.yml) that syncs docs/ to a primary S3 bucket with CloudFront cache invalidation; any cross-region availability is handled via S3 replication and infrastructure configuration, if enabled. GitHub Pages–based disaster recovery for the site is provided separately by release.yml on tagged releases. This document focuses on future workflow enhancements (AI-powered code review, progressive deployment, advanced E2E optimization) not yet implemented.

🎯 Vision Statement

"어둠 속에서 완벽한 자동화를 추구하라"
"In darkness, seek perfect automation"

Black Trigram's future workflow strategy focuses on achieving:

• 🤖 AI-Augmented Development: Intelligent code review, automated remediation, and predictive quality gates
• 🔒 Zero-Trust Security: Continuous verification, automated threat response, and compliance enforcement
• ⚡ Performance Excellence: Sub-5-minute CI/CD cycles, intelligent caching, and progressive deployment
• 🌐 Multi-Environment Orchestration: Sophisticated staging, preview environments, and progressive rollouts
• 📊 Observable Everything: Deep instrumentation, real-time metrics, and predictive analytics

📚 ISMS Policy Alignment

Future workflows will implement advanced controls mandated by Hack23 AB's evolving ISMS framework:

ISMS Policy	Future Workflow Implementation	Timeline
🛠️ Secure Development Policy	AI-powered SAST/DAST, automated remediation, security champions	Q2 2026
📝 Change Management	Progressive deployment, automated rollback, change impact analysis	Q3 2026
🔍 Vulnerability Management	Real-time CVE monitoring, automatic patching, threat intelligence integration	Q2 2026
🤖 AI Policy	AI governance for code generation, bias detection, explainable AI	Q4 2026
🔐 Information Security Policy	Zero-trust architecture, runtime security, continuous compliance monitoring	Q3 2026

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흑괘의 미래를 향하여 - Toward the Future of the Black Trigram

Full future workflow projections and detailed implementation plans will be added incrementally as development roadmap solidifies. This document serves as a placeholder for comprehensive workflow evolution documentation.

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📚 Related Documents

🔐 ISMS Policies

• 🛠️ Secure Development Policy - Security-integrated SDLC
• 📝 Change Management - Risk-controlled changes
• 🔍 Vulnerability Management - Security testing
• 🤖 AI Policy - AI governance framework
• 🔐 Information Security Policy - Overall security governance

🛡️ Black Trigram Documentation

• 🔧 Current Workflows - Current CI/CD implementation
• 🛡️ Security Architecture - Current security implementation
• 🔮 Future Security Architecture - Planned security enhancements
• 🎯 Threat Model - STRIDE analysis and attack trees
• 📐 Architecture - Overall system design

---

📋 Document Control:
✅ Approved by: James Pether Sörling, CEO
📤 Distribution: Public
🏷️ Classification:
📅 Effective Date: 2026-01-11
⏰ Next Review: 2026-07-11
🎯 Framework Compliance:

🔄 Future Workflow Roadmap

Phase 1: Intelligence & Automation (Q1-Q2 2026)

🤖 AI-Powered Code Review Workflow

Vision: Intelligent code analysis that understands Black Trigram's Korean martial arts domain, Three.js patterns, and security requirements.

Key Capabilities:

• 🧠 Context-Aware Analysis: GPT-4o Mini trained on Black Trigram codebase and Korean gaming terminology
• 🔒 Security Pattern Detection: Automatic identification of OWASP Top 10 vulnerabilities in React/TypeScript code
• 🔧 Automated Remediation: Generation of secure code fixes for common issues (XSS, injection, auth bypass)
• 🎯 Predictive Test Selection: Reduces E2E execution time from 15 minutes to <5 minutes through intelligent test selection
• 📊 Impact Prediction: Forecasts bundle size changes, performance impacts, and accessibility regressions
• 🇰🇷 Bilingual Understanding: Correctly handles Korean-English bilingual codebase and cultural requirements

Implementation Approach:

1. Q1 2026: Integrate GitHub Copilot Workspace with custom prompts for Black Trigram patterns
2. Q2 2026: Deploy GPT-4o Mini fine-tuned on repository history and ISMS security policies
3. Q2 2026: Implement automated security fix generation with human-in-the-loop approval
4. Q3 2026: Enable fully autonomous remediation for low-risk security issues

Expected Benefits:

• 60% reduction in code review time
• 85% automated detection of security vulnerabilities
• 40% reduction in post-merge bugs through predictive analysis
• 70% faster E2E test execution through intelligent selection

⚡ Advanced E2E Test Optimization

Vision: Eliminate flaky tests, reduce execution time to <5 minutes, and maintain 95%+ bug detection confidence.

Optimization Strategies:

1. Change Impact Analysis

   • Git diff analysis to identify affected components
   • Dependency graph traversal to find impacted test suites
   • Historical failure pattern analysis for risk assessment

2. Parallel Execution Matrix

   strategy:
     matrix:
       screen: [IntroScreen, CombatScreen, SettingsScreen]
       browser: [chrome]
       shard: [1/3, 2/3, 3/3]
   

   • 3-way parallelization: By screen, by shard, by browser (future)
   • Estimated speedup: 3-5x (from 15min to 3-5min)

3. Smart Retry with Flaky Test Quarantine

   • Automatic retry on first failure (max 2 retries)
   • ML-based flaky test detection (>10% failure rate)
   • Quarantine flaky tests while maintaining coverage
   • Weekly flaky test report with root cause analysis

4. Incremental Testing

   • Skip unchanged components on subsequent runs
   • Cache test results for stable code sections
   • Differential coverage tracking

Implementation Roadmap:

• Q1 2026: Implement change impact analysis and test selection
• Q2 2026: Deploy parallel execution matrix strategy
• Q2 2026: Add smart retry and flaky test detection
• Q3 2026: ML model for predictive test selection

Target Metrics:

Metric	Current	Target	Improvement
Total E2E Time	15 min	<5 min	70%
Flaky Test Rate	5%	<2%	60%
False Positive Rate	8%	<3%	63%
Bug Detection Confidence	90%	95%+	5%+

🔒 Automated Security Remediation

Vision: Zero-touch security patching for critical vulnerabilities with <1 hour response time.

Remediation Tiers:

1. Critical (CVSS 9.0+) - Automated Patching

   • Trigger: CVE detected in dependencies
   • Action: Automatic version upgrade + test execution
   • Timeline: <1 hour from detection to deployment
   • Process:
     1. Dependabot alerts trigger workflow
     2. Automated dependency upgrade
     3. Full test suite execution (unit + E2E)
     4. Security scan validation
     5. Auto-merge if all tests pass
     6. Emergency deployment to production
     7. Stakeholder notification

2. High (CVSS 7.0-8.9) - Automated PR Creation

   • Trigger: High-severity vulnerability detected
   • Action: Create PR with upgrade + test results
   • Timeline: <4 hours from detection to human review
   • Process:
     1. Generate upgrade PR automatically
     2. Run comprehensive test suite
     3. Tag security team for review
     4. Merge on approval
     5. Deploy through normal pipeline

3. Medium/Low (CVSS <7.0) - Weekly Security Digest

   • Trigger: Scheduled weekly scan
   • Action: Consolidated security advisory
   • Timeline: Weekly review cycle
   • Process:
     1. Aggregate all medium/low findings
     2. Generate risk assessment report
     3. Prioritize based on exploitability
     4. Plan remediation in sprint

Zero-Day Response Pipeline:

• Detection: Threat intelligence feeds (GitHub Security Lab, CISA)
• Analysis: Automated exploitability assessment
• Patching: Emergency hotfix pipeline activated
• Deployment: <2 hours from disclosure to production
• Validation: Post-deployment security scan

Implementation Plan:

• Q2 2026: Integrate Dependabot with automated testing
• Q2 2026: Deploy emergency hotfix pipeline
• Q3 2026: Add threat intelligence feeds (CISA, NVD, GitHub)
• Q4 2026: ML-based vulnerability prediction

Phase 2: Multi-Environment & Progressive Deployment (Q3-Q4 2026)

🌐 Progressive Deployment Pipeline

Vision: Zero-downtime deployments with automated rollback and <60 second recovery time.

Deployment Stages:

1. Staging Environment (100% synthetic traffic)

   • Full application deployment
   • Synthetic load testing (simulated users)
   • Comprehensive E2E test suite
   • Performance baseline validation
   • Security scan (ZAP + Lighthouse)
   • Exit criteria: All tests pass + no performance regression

2. Canary Deployment (5% real traffic)

   • Deploy to subset of CDN edge nodes
   • Monitor for 30 minutes
   • Key metrics:
     • Error rate: <0.1% increase
     • P95 latency: <50ms increase
     • JavaScript errors: <5 per 1000 sessions
   • Automated rollback if thresholds exceeded

3. Progressive Rollout (25% → 50% → 100%)

   • Stage 1: 25% traffic for 30 minutes
   • Stage 2: 50% traffic for 30 minutes
   • Stage 3: 100% traffic (full deployment)
   • Continuous monitoring at each stage
   • Automatic rollback on any anomaly

Monitoring & Rollback:

• Real-time Metrics: Error rate, latency, FPS, audio failures
• Business Metrics: Session duration, combat completions, user retention
• Rollback Triggers:
  • Error rate increase >0.5%
  • P95 latency increase >100ms
  • JavaScript error rate >1%
  • User reports >5/minute
• Rollback Speed: <60 seconds to previous version

Implementation Timeline:

• Q3 2026: Staging environment with GitHub Pages preview
• Q3 2026: Canary deployment strategy (5% traffic)
• Q4 2026: Progressive rollout automation (25%/50%/100%)
• Q4 2026: Advanced monitoring and alerting

🎯 Preview Environment per PR

Vision: Every PR gets a fully functional preview environment with automated testing and visual regression.

Preview Environment Features:

1. Unique URLs: pr-{number}.preview.blacktrigram.com

2. Full Functionality:

   • Complete Three.js/WebGL rendering
   • All game screens (Intro, Combat, Settings)
   • Korean-English bilingual UI
   • Audio system integration
   • Mobile-responsive testing

3. Automated Testing on Preview:

   • Full E2E test suite (5 min)
   • Accessibility validation (WCAG 2.1 AA)
   • Performance audit (Lighthouse)
   • Visual regression (Chromatic/Percy)
   • Security scan (OWASP ZAP)

4. Visual Regression Detection:

   • Baseline screenshots from main branch
   • Pixel-perfect comparison with Chromatic
   • Automatic flagging of UI changes
   • Side-by-side diff visualization
   • Approval workflow for intentional changes

5. PR Integration:

   • Preview URL posted as PR comment
   • Test results summary with badges
   • Visual diff links for review
   • Performance comparison table
   • Accessibility compliance status

Cost Optimization:

• Preview TTL: 7 days or PR merge (whichever comes first)
• Automatic cleanup on PR close
• Resource limits: 512MB RAM, 1 CPU core
• Estimated cost: ~$50/month for 10 active PRs

Implementation Plan:

• Q3 2026: Deploy preview infrastructure with GitHub Pages
• Q3 2026: Automated testing on preview environments
• Q4 2026: Visual regression integration (Chromatic)
• Q4 2026: Advanced features (auth, custom domains, mobile testing)

Phase 3: Observability & Intelligence (Q1-Q2 2027)

📊 Advanced Metrics & Analytics

Vision: Real-time observability with AI-powered anomaly detection and predictive insights.

Metrics Collection Strategy:

1. Performance Metrics

   • FPS (target: 60fps, threshold: <45fps)
   • Load time (target: <3s, threshold: >5s)
   • Three.js render time (target: <16ms, threshold: >33ms)
   • WebGL context loss rate (target: <0.1%, threshold: >1%)
   • Audio latency (target: <50ms, threshold: >100ms)

2. Error Tracking

   • JavaScript errors (categorized by severity)
   • Three.js warnings and errors
   • WebGL errors (context loss, shader compilation)
   • Audio system failures
   • Network errors (asset loading)

3. User Behavior Analytics

   • Player sessions (duration, frequency)
   • Combat analytics (win rate, technique usage)
   • Archetype popularity (무사, 암살자, 해커, etc.)
   • Progression tracking (level completion)
   • Churn prediction (session patterns)

4. Business Metrics

   • User retention (D1, D7, D30)
   • Engagement time per session
   • Conversion funnel (intro → combat → completion)
   • Feature adoption rate
   • Community growth

AI-Powered Intelligence:

1. Anomaly Detection

   • ML model trained on historical metrics
   • Real-time detection of performance degradation
   • Automatic alerting with context
   • Root cause analysis suggestions

2. Predictive Alerts

   • Forecast performance issues before user impact
   • Capacity planning based on usage trends
   • Churn prediction and intervention
   • Feature adoption forecasting

3. Auto-Optimization

   • Automatic asset optimization based on usage
   • Dynamic caching strategy adjustment
   • A/B testing for performance improvements
   • Resource allocation optimization

Dashboard Strategy:

• Developer Dashboard: Performance, errors, CI/CD metrics
• Operations Dashboard: Infrastructure, deployments, incidents
• Business Dashboard: User metrics, retention, engagement
• Security Dashboard: Vulnerabilities, incidents, compliance

Implementation Plan:

• Q1 2027: Deploy OpenTelemetry instrumentation
• Q1 2027: Integrate Grafana + Prometheus
• Q2 2027: ML-based anomaly detection
• Q2 2027: Predictive analytics and auto-optimization

🔒 Runtime Security Monitoring

Vision: Continuous security validation in production with automated threat response.

Security Monitoring Scope:

1. Content Security Policy (CSP)

   • Real-time violation tracking
   • Automatic policy updates
   • Threat pattern analysis
   • Blocked resource reporting

2. Cross-Site Scripting (XSS) Prevention

   • Input sanitization validation
   • DOM mutation monitoring
   • Trusted Types enforcement
   • Automatic blocking of suspicious scripts

3. Authentication & Authorization

   • Failed login attempt tracking
   • Session anomaly detection
   • Unusual access pattern alerts
   • Credential stuffing detection

4. API Protection

   • Rate limiting enforcement
   • DDoS detection and mitigation
   • API abuse pattern recognition
   • Automatic IP blocking

5. Game Integrity

   • Cheat detection (memory manipulation)
   • Exploit prevention (timing attacks)
   • Score validation
   • Anti-bot measures

Threat Response Automation:

1. Critical Threats (Auto-block)

   • SQL injection attempts
   • XSS payload detection
   • CSRF token manipulation
   • Session hijacking attempts

2. High Threats (Security Alert)

   • Multiple failed logins
   • Unusual access patterns
   • Suspicious API calls
   • Rate limit violations

3. Medium Threats (Security Log)

   • Minor CSP violations
   • Deprecated API usage
   • Weak password attempts
   • Unusual user behavior

Incident Response Pipeline:

1. Detection: Real-time monitoring with AI analysis
2. Triage: Automatic severity classification
3. Containment: Automated blocking for critical threats
4. Investigation: Forensic log collection
5. Remediation: Patch deployment if needed
6. Recovery: Service restoration validation
7. Post-Mortem: Automated incident report

Implementation Plan:

• Q1 2027: Deploy CSP monitoring and XSS prevention
• Q2 2027: Implement authentication anomaly detection
• Q2 2027: API protection and rate limiting
• Q2 2027: Game integrity and cheat detection

Phase 4: Compliance & Governance (Q3-Q4 2027)

📋 Continuous Compliance Monitoring

Vision: Automated compliance validation with audit-ready evidence collection.

Compliance Framework Coverage:

1. ISO 27001:2022

   • A.8: Asset Management → SBOM generation, asset inventory
   • A.12: Operations Security → Security monitoring, incident response
   • A.14: System Acquisition → Secure development lifecycle
   • A.17: Information Security Aspects of BCM → Backup validation, DR testing

2. NIST Cybersecurity Framework 2.0

   • Identify: Asset inventory, risk assessment
   • Protect: Access control, data protection, security training
   • Detect: Anomaly detection, security monitoring
   • Respond: Incident response, communications
   • Recover: Backup restoration, lessons learned

3. CIS Controls v8.1

   • Implementation Group 1 (IG1): Basic cyber hygiene
   • Implementation Group 2 (IG2): Enterprise security
   • Automated validation of 153 controls

4. WCAG 2.1 Level AA

   • Perceivable: Color contrast, alt text, captions
   • Operable: Keyboard navigation, timing, seizure prevention
   • Understandable: Readable, predictable, input assistance
   • Robust: Compatible, valid HTML/ARIA

5. EU Cyber Resilience Act (CRA)

   • Vulnerability handling (SBOM, VEX, disclosure)
   • Security updates (automated patching)
   • Secure by design (threat modeling, security testing)
   • Incident reporting (24-72 hour timeline)

Compliance Automation Features:

1. Evidence Collection

   • Automatic capture of security controls
   • Timestamped cryptographic proofs
   • Audit trail generation
   • Policy compliance mapping

2. Continuous Validation

   • Daily compliance scanning
   • Real-time control effectiveness
   • Gap analysis with remediation plans
   • Trend analysis and reporting

3. Audit Readiness

   • Automated audit package generation
   • Control evidence summaries
   • Non-compliance reporting
   • Remediation tracking

4. Compliance Dashboard

   • Overall compliance score
   • Framework-specific breakdowns
   • Control implementation status
   • Risk heatmap

Implementation Plan:

• Q3 2027: ISO 27001 automated validation
• Q3 2027: NIST CSF 2.0 continuous monitoring
• Q4 2027: CIS Controls v8.1 validation
• Q4 2027: EU CRA compliance automation

🔐 Advanced SBOM & Supply Chain Security

Vision: Comprehensive supply chain transparency with cryptographic verification and exploitability analysis.

Enhanced SBOM Generation:

1. CycloneDX Format

   • Complete dependency graph (direct + transitive)
   • License information (SPDX identifiers)
   • Vulnerability references (CVE, GHSA)
   • Component hashes (SHA-256)
   • Build environment metadata

2. Sigstore Integration

   • Keyless cryptographic signing (no private key management)
   • Rekor transparency log (immutable audit trail)
   • Fulcio certificate authority (short-lived certs)
   • Verification with cosign CLI

3. VEX Documents (Vulnerability Exploitability eXchange)

   • Not affected: Dependency not used
   • Affected: Vulnerable code executed
   • Fixed: Patch applied
   • Under investigation: Analysis pending

Supply Chain Risk Assessment:

1. Reachability Analysis

   • Call graph construction
   • Dead code elimination
   • Unused dependency detection
   • Vulnerable function reachability

2. Exploitability Assessment

   • CVSS score analysis
   • Exploit availability check
   • Attack vector feasibility
   • Real-world impact evaluation

3. Risk Scoring

   • Reachability: 0-10 (code actually used?)
   • Exploitability: 0-10 (is exploit available?)
   • Impact: 0-10 (what's the damage?)
   • Overall risk: weighted score

Continuous Supply Chain Monitoring:

• Dependency Updates: Daily checks for new versions
• CVE Monitoring: Real-time vulnerability notifications
• License Changes: Automated license compliance checks
• Typosquatting Detection: Package name similarity analysis
• Malicious Package Detection: Behavioral analysis on install

Implementation Plan:

• Q3 2027: CycloneDX SBOM generation
• Q3 2027: Sigstore integration
• Q4 2027: VEX and reachability analysis
• Q4 2027: Continuous supply chain monitoring
• Q1 2028: Advanced threat intelligence integration

🎯 Performance Targets

Current vs. Future Metrics

Metric	Current (2025)	Target (2027)	Improvement
Total E2E Time	15 minutes	<5 minutes	70% reduction
Build Time	3 minutes	<1 minute	65% reduction
Deploy Time	5 minutes	<2 minutes	60% reduction
MTTR (Mean Time to Recovery)	30 minutes	<5 minutes	83% reduction
Security Scan Time	10 minutes	<2 minutes	80% reduction
Flaky Test Rate	5%	<2%	60% improvement
Test Coverage	85%	95%	12% improvement
Security Response Time	4 hours	<1 hour	75% reduction
Deployment Frequency	1/day	10/day	10x increase
Change Failure Rate	5%	<1%	80% reduction

Cost Optimization Targets

Resource	Current Monthly Cost	Target Monthly Cost	Savings
CI/CD Minutes	$100	$40	60%
Storage	$20	$15	25%
Bandwidth	$30	$25	17%
Preview Environments	N/A	$50	New capability
Monitoring	N/A	$30	New capability
Total	$150	$160	-7% (with 5x more features)

📅 Implementation Timeline

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gantt
    title Black Trigram CI/CD Evolution Roadmap
    dateFormat YYYY-MM
    section Phase 1: Intelligence
    AI-Powered Code Review           :2026-01, 6M
    E2E Test Optimization             :2026-02, 4M
    Automated Security Remediation    :2026-04, 3M
    
    section Phase 2: Multi-Env
    Progressive Deployment            :2026-07, 4M
    Preview Environments              :2026-08, 3M
    
    section Phase 3: Observability
    Advanced Metrics & Analytics      :2027-01, 6M
    Runtime Security Monitoring       :2027-02, 5M
    
    section Phase 4: Compliance
    Continuous Compliance Monitoring  :2027-07, 4M
    Advanced SBOM & Supply Chain      :2027-09, 4M

Quarterly Milestones

Q1 2026: Foundation

• ✅ AI code review proof of concept
• ✅ E2E test optimization phase 1
• ✅ Enhanced caching strategies

Q2 2026: Intelligence

• ✅ Production AI code review
• ✅ Automated security remediation
• ✅ Predictive test selection

Q3 2026: Multi-Environment

• ✅ Staging environment deployment
• ✅ Canary deployment strategy
• ✅ Preview environments per PR

Q4 2026: Progressive Deployment

• ✅ Progressive rollout automation
• ✅ Advanced monitoring and alerting
• ✅ Visual regression testing

Q1 2027: Observability

• ✅ Comprehensive metrics collection
• ✅ ML-based anomaly detection
• ✅ Runtime security monitoring

Q2 2027: Intelligence & Security

• ✅ Predictive analytics
• ✅ Auto-optimization
• ✅ Advanced threat detection

Q3 2027: Compliance Automation

• ✅ ISO 27001 automated validation
• ✅ NIST CSF 2.0 monitoring
• ✅ Enhanced SBOM generation

Q4 2027: Supply Chain Excellence

• ✅ VEX and reachability analysis
• ✅ Sigstore integration
• ✅ Continuous supply chain monitoring

🔧 Technology Stack Evolution

Current Stack (2025)

• CI/CD: GitHub Actions
• Testing: Vitest, Cypress
• Security: CodeQL, OSSF Scorecard, ZAP
• Performance: Lighthouse
• Documentation: TypeDoc

Future Stack (2027)

• AI/ML: GitHub Copilot Workspace, GPT-4o Mini, TensorFlow.js
• Progressive Deployment: Vercel, Cloudflare Workers
• Observability: OpenTelemetry, Grafana, Prometheus
• Security: Sigstore, VEX, SLSA Level 4
• Compliance: OpenControl, Compliance as Code
• Testing: Playwright, Chromatic (visual regression)

🌟 Success Criteria

Technical Excellence

• ✅ 95%+ test coverage (up from 85%)
• ✅ <2% flaky test rate (down from 5%)
• ✅ <5 minute CI/CD pipeline (down from 18 minutes)
• ✅ Zero downtime deployments
• ✅ <1 hour security response time (down from 4 hours)

Developer Experience

• ✅ 10x deployment frequency (10/day vs 1/day)
• ✅ 83% MTTR reduction (<5 min vs 30 min)
• ✅ AI-assisted code review on 100% of PRs
• ✅ Preview environment for every PR
• ✅ <1% change failure rate (down from 5%)

Security & Compliance

• ✅ Automated compliance validation (ISO 27001, NIST, CIS)
• ✅ SLSA Level 4 attestations
• ✅ Runtime security monitoring
• ✅ Supply chain attack prevention
• ✅ EU CRA compliance automation

Business Impact

• ✅ 60% CI/CD cost reduction
• ✅ 75% faster time-to-market
• ✅ 90% reduction in security incidents
• ✅ 100% audit readiness
• ✅ Enhanced competitive differentiation

---

📋 Document Control:
✅ Approved by: James Pether Sörling, CEO
📤 Distribution: Public
🏷️ Classification:
📅 Effective Date: 2026-03-19
⏰ Next Review: 2026-09-19
🎯 Framework Compliance: