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Hack23 Logo

🚀 Riksdagsmonitor — Future Security Architecture

🛡️ Evolution Roadmap: From Static Website to Advanced Intelligence Platform
🎯 Post-Quantum Ready · AI-Augmented Security · Zero-Trust Architecture

Owner Version Effective Date Review Cycle OpenSSF Best Practices

Document Version: 2.0
Last Updated: 2026-02-24
Classification: Public
Owner: Hack23 AB (Org.nr 5595347807)
Review Cycle: Quarterly

🎯 Executive Summary

This document outlines the future security architecture for Riksdagsmonitor over the next 3-11 years (2026-2037). The roadmap focuses on proactive security evolution rather than reactive patches, ensuring the web platform with interactive Chart.js/D3.js dashboards remains secure against emerging threats including post-quantum cryptography, AI-powered attacks, and advanced persistent threats.

Strategic Goals:

  • 🔐 Post-Quantum Readiness - Cryptographic agility before quantum computers threaten current algorithms
  • 🤖 AI-Augmented Security - Machine learning for threat detection and anomaly analysis
  • 🛡️ Zero-Trust Architecture - Never trust, always verify, assume breach mentality
  • 📊 Privacy-Preserving Analytics - Intelligence without surveillance
  • 🌐 Decentralized Resilience - Distributed architecture for high availability

📋 Table of Contents

  1. Current State Baseline
  2. Threat Landscape Evolution
  3. Future Security Domains
  4. Implementation Roadmap
  5. Technology Evolution
  6. Compliance Evolution
  7. Risk Management
  8. Success Metrics
  9. Security Investment & Budget Planning
  10. Conclusion
  11. References

📚 Architecture Documentation Map

The following table shows all 15 architecture documents maintained for Riksdagsmonitor. This document is highlighted.

Document Focus Description
ARCHITECTURE.md Current C4 system architecture model
DATA_MODEL.md Current Data structures and entities
FLOWCHART.md Current Business process flows
STATEDIAGRAM.md Current System state transitions
MINDMAP.md Current System conceptual map
SWOT.md Current Strategic analysis
SECURITY_ARCHITECTURE.md Security Current security controls
THREAT_MODEL.md Security STRIDE threat analysis
FUTURE_SECURITY_ARCHITECTURE.md Security Future security roadmap (this document)
FUTURE_ARCHITECTURE.md Future Architecture evolution roadmap
FUTURE_DATA_MODEL.md Future Enhanced data architecture
FUTURE_FLOWCHART.md Future Improved process workflows
FUTURE_STATEDIAGRAM.md Future Advanced state management
FUTURE_MINDMAP.md Future Capability expansion map
FUTURE_SWOT.md Future Future strategic opportunities

🔐 ISMS Policy Alignment

Policy Framework Integration

This document aligns with the following Hack23 ISMS policies from Hack23/ISMS-PUBLIC:

Policy Relevance Key Requirements
Information Security Policy Primary Security objectives, management commitment, risk appetite
Secure Development Policy High Secure coding standards, SAST/DAST, supply chain security
Access Control Policy High Least privilege, MFA, zero-trust principles
Risk Management Policy High Risk register, treatment plans, residual risk targets
Incident Response Policy Medium MTTR targets, escalation procedures, post-incident reviews
Cryptography Policy High Algorithm standards, key management, PQC migration
Supplier Security Policy Medium Third-party risk (Chart.js, D3.js, GitHub, AWS)
Business Continuity Policy Medium Dual deployment, RTO/RPO targets

Security Control Implementation Status

Control Domain Current (2026) Target (2028) Target (2030) Framework
Access Control 🟡 Partial 🟢 Full 🟢 Full ISO 27001 A.9
Cryptography 🟡 Classical TLS 1.3 🟡 Hybrid PQC 🟢 Full PQC ISO 27001 A.10
Physical Security 🟢 GitHub/AWS managed 🟢 Full 🟢 Full ISO 27001 A.11
Operations Security 🟡 Partial 🟢 Full 🟢 Full ISO 27001 A.12
Network Security 🟡 TLS/CDN only 🟡 WAF added 🟢 Full ZTA ISO 27001 A.13
Supplier Relations 🟡 SRI/SBOM 🟢 Full SBOM 🟢 Full ISO 27001 A.15
Incident Management 🟡 Documented 🟡 Automated 🟢 AI-assisted ISO 27001 A.16
Compliance 🟡 Managed 🟡 Certified 🟢 ISO 27001 Cert ISO 27001 A.18

Alignment with NIST CSF 2.0 Functions

Function Current Maturity 2028 Target 2030 Target
GV — Govern 🟡 Level 2 🟢 Level 3 🟢 Level 4
ID — Identify 🟡 Level 2 🟢 Level 3 🟢 Level 4
PR — Protect 🟡 Level 2 🟢 Level 3 🟢 Level 4
DE — Detect 🔴 Level 1 🟡 Level 2 🟢 Level 3
RS — Respond 🟡 Level 2 🟢 Level 3 🟢 Level 4
RC — Recover 🟡 Level 2 🟢 Level 3 🟢 Level 4

1. �� Current State Baseline

1.1 Current Security Posture (2026 Q1)

graph TB
    subgraph "2026 Q1 Security Stack (Current)"
        L1[🌐 Network: TLS 1.3, HTTPS-only, AWS CloudFront + GitHub CDN]
        L2[🛡️ Application: HTML/CSS/JavaScript, Chart.js/D3.js dashboards]
        L3[🔑 Access: GitHub MFA, SSH keys, GPG signing, AWS OIDC]
        L4[📋 Integrity: Git history, Branch protection, SRI hashes]
        L5[🔍 Monitoring: Dependabot, CodeQL, Secret scanning]
        L6[🚨 Response: Documented procedures, Rollback capability, Dual deployment]
    end
    
    L1 --> L2
    L2 --> L3
    L3 --> L4
    L4 --> L5
    L5 --> L6
    
    style L1 fill:#4caf50,color:#000000
    style L2 fill:#4caf50,color:#000000
    style L3 fill:#ff9800,color:#000000
    style L4 fill:#ff9800,color:#000000
    style L5 fill:#2196f3,color:#ffffff
    style L6 fill:#f44336,color:#ffffff
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Strengths:

  • ✅ LOW residual risk (7.21/10.0)
  • ✅ Zero high-priority vulnerabilities
  • ✅ Dual deployment with automatic failover (AWS + GitHub Pages)
  • ✅ Interactive dashboards with SRI hash validation
  • ✅ Comprehensive ISMS documentation
  • ✅ AWS OIDC authentication (no long-lived credentials)
  • ✅ NEW (2026-02-18): SLSA Level 2+ Build Provenance attestations
  • ✅ NEW (2026-02-18): SBOM generation in SPDX format
  • ✅ NEW (2026-02-18): Documentation as code (API, coverage, E2E reports)

Limitations:

  • ⚠️ CSP 'unsafe-inline' required for Chart.js/D3.js (future: nonce-based CSP)
  • ⚠️ Client-side JavaScript increases attack surface (XSS risks)
  • ⚠️ CDN dependency for Chart.js/D3.js (supply chain risk)
  • ⚠️ No real-time threat intelligence integration
  • ⚠️ Limited observability (no APM for client-side performance)

2. ⚠️ Threat Landscape Evolution

2.1 Emerging Threats (2026-2030)

graph TB
    subgraph "2026-2027: Near-Term Threats"
        T1[🤖 AI-Powered Phishing<br/>Deepfake social engineering]
        T2[🔐 Cryptographic Weakening<br/>Quantum computing advances]
        T3[⚡ Supply Chain Attacks<br/>Compromised CI/CD]
    end
    
    subgraph "2028-2029: Mid-Term Threats"
        T4[🧠 AI-Generated Exploits<br/>Automated vulnerability discovery]
        T5[🌐 DNS Hijacking 2.0<br/>Advanced BGP attacks]
        T6[📱 IoT Botnets<br/>Distributed attacks]
    end
    
    subgraph "2030+: Long-Term Threats"
        T7[💻 Quantum Decryption<br/>TLS 1.3 broken]
        T8[🤖 AGI Security Attacks<br/>Autonomous threat actors]
        T9[🌍 Nation-State APTs<br/>Advanced persistent threats]
    end
    
    T1 --> T4
    T2 --> T7
    T3 --> T6
    T4 --> T8
    T5 --> T9
    
    style T1 fill:#ff9800,color:#000000
    style T2 fill:#ff9800,color:#000000
    style T3 fill:#ff9800,color:#000000
    style T7 fill:#f44336,color:#ffffff
    style T8 fill:#f44336,color:#ffffff
    style T9 fill:#f44336,color:#ffffff
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2.2 Regulatory Evolution

Framework Current (2026) Future (2028-2030) Impact on Riksdagsmonitor
NIS2 Directive Applicable Stricter controls Incident reporting <24h
EU Cyber Resilience Act Proposed Mandatory SBOM Software supply chain transparency
AI Act Draft Enforced AI system categorization if ML added
Post-Quantum Cryptography NIST standards Mandatory Algorithm migration required
GDPR Enforced Enhanced Privacy by design for any user data

3. 🏗️ Future Security Domains

3.1 Post-Quantum Cryptography (PQC)

Timeline: 2027 Q1 - Q4
Priority: 🔴 HIGH

graph LR
    Current[Current: TLS 1.3<br/>RSA 2048, ECDSA P-256] --> Hybrid[2027 Q2: Hybrid Mode<br/>Classical + PQC]
    Hybrid --> Full[2028 Q1: Full PQC<br/>CRYSTALS-Kyber, CRYSTALS-Dilithium]
    
    style Current fill:#90caf9,color:#000000
    style Hybrid fill:#ff9800,color:#000000
    style Full fill:#4caf50,color:#000000
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Implementation Plan:

Phase 1: Assessment (2027 Q1)

  • Inventory all cryptographic dependencies
  • GitHub Pages TLS capabilities assessment
  • Browser compatibility matrix (PQC support)
  • Performance impact analysis

Phase 2: Hybrid Deployment (2027 Q2-Q3)

  • Configure hybrid TLS (classical + PQC)
  • Browser fallback mechanisms
  • Performance monitoring
  • User experience validation

Phase 3: Full PQC Migration (2028 Q1)

  • Deprecate classical-only connections
  • Full PQC enforcement for AWS CloudFront
  • Certificate management automation
  • Documentation updates

NIST PQC Standards:

  • Key Encapsulation: CRYSTALS-Kyber (KEM)
  • Digital Signatures: CRYSTALS-Dilithium, FALCON
  • Fallback: Classical algorithms during transition

AWS Integration:

  • CloudFront custom SSL certificate with PQC support
  • S3 presigned URLs with post-quantum signatures
  • Route 53 DNSSEC with PQC algorithms

Control Mapping:

  • ISO 27001: A.10.1.1 (Cryptographic controls)
  • NIST CSF 2.0: PR.DS-2 (Data in transit protected)
  • CIS Controls v8.1: 3.10 (Encrypt data in transit)

3.2 AI-Augmented Security

Timeline: 2026 Q3 - 2027 Q4
Priority: 🟡 MEDIUM

graph TB
    subgraph "AI Security Layers"
        A1[🤖 Anomaly Detection<br/>Traffic pattern analysis]
        A2[🔍 Threat Intelligence<br/>Real-time feed integration]
        A3[🛡️ Behavioral Analysis<br/>User interaction patterns]
        A4[📊 Predictive Security<br/>Vulnerability forecasting]
    end
    
    Data[Log Data] --> A1
    External[Threat Feeds] --> A2
    Analytics[User Analytics] --> A3
    SBOM[SBOM Data] --> A4
    
    A1 --> Alerts[Security Alerts]
    A2 --> Alerts
    A3 --> Alerts
    A4 --> Alerts
    
    style A1 fill:#2196f3,color:#ffffff
    style A2 fill:#2196f3,color:#ffffff
    style A3 fill:#2196f3,color:#ffffff
    style A4 fill:#2196f3,color:#ffffff
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Capabilities:

1. Anomaly Detection (2026 Q4)

  • Traffic pattern analysis via AWS CloudWatch and CloudFront logs
  • Baseline establishment for normal behavior
  • Real-time alerting on deviations
  • Integration with GitHub Actions logs

2. Threat Intelligence (2027 Q1)

  • Integration with threat intelligence feeds (MISP, OTX)
  • Automated IOC matching against CloudFront access logs
  • Proactive blocking of known-bad actors via AWS WAF
  • Threat actor profiling

3. Behavioral Analysis (2027 Q2)

  • User interaction patterns (if analytics added)
  • Bot detection and mitigation via AWS WAF
  • Session anomaly detection
  • Privacy-preserving analytics (differential privacy)
  • Client-side dashboard performance monitoring

4. Predictive Security (2027 Q3)

  • Dependency vulnerability forecasting (Chart.js/D3.js)
  • Zero-day prediction models
  • Attack surface trend analysis (JavaScript attack surface)
  • Risk score predictions

Privacy Considerations:

  • ✅ No PII collection
  • ✅ Anonymized analytics only
  • ✅ GDPR-compliant by design
  • ✅ User opt-out mechanisms

Control Mapping:

  • ISO 27001: A.12.6 (Technical vulnerability management)
  • NIST CSF 2.0: DE.CM-1 (Network monitored)
  • CIS Controls v8.1: 13.1 (Security event alerting)

3.3 Zero-Trust Architecture

Timeline: 2027 Q1 - 2028 Q4
Priority: 🟢 LOW (Static website context)

Principles:

  1. Never Trust, Always Verify - Even GitHub infrastructure
  2. Assume Breach - Design for compromise scenarios
  3. Least Privilege - Minimal permissions at all layers
  4. Micro-Segmentation - Isolate components

Future Enhancements:

Contributor Access (2027 Q2)

  • Time-limited access tokens
  • Just-in-time privilege elevation
  • Continuous authentication verification
  • Behavior-based access policies

Infrastructure Verification (2027 Q4)

  • ✅ IMPLEMENTED (2026-02-18): GitHub Actions attestations (SLSA Level 2+)
  • ✅ IMPLEMENTED (2026-02-18): Build Provenance verification
  • Future Goal: SLSA Level 3 (hermetic builds, non-falsifiable provenance)
  • Binary authorization for deployments
  • Reproducible builds

Network Isolation (2028 Q2)

  • Content Security Policy Level 3 with nonces (remove 'unsafe-inline')
  • Subresource Integrity (SRI) for all external resources (Chart.js, D3.js)
  • CORS policy enforcement
  • DNS-over-HTTPS (DoH) via Route 53
  • AWS WAF integration with CloudFront

Control Mapping:

  • ISO 27001: A.13.1 (Network security management)
  • NIST CSF 2.0: PR.AC-5 (Network integrity protected)
  • CIS Controls v8.1: 13.6 (Deploy network-based IDS)

3.4 Advanced Monitoring & Observability

Timeline: 2026 Q4 - 2027 Q4
Priority: 🟡 MEDIUM

graph TB
    subgraph "Observability Stack Evolution"
        M1[Current: GitHub Actions<br/>Basic workflow monitoring]
        M2[2027 Q1: APM Integration<br/>Real-time performance tracking]
        M3[2027 Q3: SIEM Integration<br/>Security event correlation]
        M4[2028 Q1: Distributed Tracing<br/>End-to-end visibility]
    end
    
    M1 --> M2
    M2 --> M3
    M3 --> M4
    
    style M1 fill:#90caf9,color:#000000
    style M2 fill:#ff9800,color:#000000
    style M3 fill:#2196f3,color:#ffffff
    style M4 fill:#4caf50,color:#000000
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Components:

1. Application Performance Monitoring (2027 Q1)

  • Real User Monitoring (RUM) for Chart.js/D3.js dashboards
  • Synthetic monitoring from global locations
  • Performance regression detection
  • Lighthouse CI integration
  • Client-side error tracking (Sentry or similar)

Metrics:

  • First Contentful Paint (FCP) < 1s
  • Time to Interactive (TTI) < 2s
  • Cumulative Layout Shift (CLS) < 0.05
  • Chart.js rendering performance < 500ms
  • Core Web Vitals monitoring

2. Security Information & Event Management (2027 Q3)

  • Centralized log aggregation (GitHub + AWS CloudFront + S3 access logs)
  • Real-time security event correlation
  • Automated incident response workflows
  • Compliance reporting automation

Integration:

  • Elastic Stack (ELK) or Splunk
  • GitHub audit log streaming
  • AWS CloudTrail and CloudWatch Logs
  • CloudFront access logs
  • Automated alerting to PagerDuty/Opsgenie

3. Distributed Tracing (2028 Q1)

  • OpenTelemetry instrumentation
  • Request flow visualization
  • Latency analysis
  • Dependency mapping

Control Mapping:

  • ISO 27001: A.12.4 (Logging and monitoring)
  • NIST CSF 2.0: DE.CM-1 (Network monitored)
  • CIS Controls v8.1: 8.2 (Collect audit logs)

4. 🚀 Implementation Roadmap

4.1 Timeline Overview

gantt
    title Riksdagsmonitor Security Evolution (2026-2030)
    dateFormat YYYY-MM
    section Post-Quantum
    PQC Assessment           :2027-01, 3M
    Hybrid PQC Deployment   :2027-04, 6M
    Full PQC Migration      :2028-01, 3M
    section AI Security
    Anomaly Detection       :2026-10, 3M
    Threat Intelligence     :2027-01, 3M
    Behavioral Analysis     :2027-04, 3M
    Predictive Security     :2027-07, 3M
    section Zero-Trust
    Contributor Access      :2027-04, 3M
    Infrastructure Verify   :2027-10, 3M
    Network Isolation       :2028-04, 3M
    section Monitoring
    APM Integration         :2027-01, 3M
    SIEM Integration        :2027-07, 3M
    Distributed Tracing     :2028-01, 3M
Loading

4.2 Phase-by-Phase Breakdown

2026 Q3-Q4: Foundation

  • ✅ Complete current ISMS documentation (DONE: Feb 2026)
  • ✅ AWS CloudFront + S3 deployment (DONE: Feb 2026)
  • ✅ Dual deployment with GitHub Pages DR (DONE: Feb 2026)
  • 🔄 Implement APM monitoring (Lighthouse CI)
  • 🔄 Enable GitHub Advanced Security features
  • 🔄 AI anomaly detection prototype
  • 🔄 Nonce-based CSP for Chart.js/D3.js (remove 'unsafe-inline')

2027 Q1-Q2: Early Adoption

  • 🔐 PQC assessment and hybrid deployment
  • 🤖 AI threat intelligence integration
  • 🛡️ Zero-trust contributor access model
  • 📊 SIEM integration (ELK/Splunk)

2027 Q3-Q4: Expansion

  • 🔐 Full PQC readiness testing
  • 🤖 Behavioral analysis deployment
  • 🛡️ Infrastructure attestation (SLSA Level 3)
  • 📊 Advanced monitoring dashboards

2028 Q1-Q2: Maturity

  • 🔐 Full PQC enforcement
  • 🤖 Predictive security models
  • 🛡️ Network micro-segmentation
  • 📊 Distributed tracing

2028 Q3-Q4: Optimization

  • 🔧 Performance tuning
  • 📖 Documentation updates
  • 🎯 Compliance validation
  • 🏆 Maturity assessment

2029-2030: Continuous Improvement

  • 🔄 Regular security audits
  • 🔄 Emerging threat response
  • 🔄 Technology refresh cycles
  • 🔄 ISMS updates

5. 💻 Technology Evolution

5.1 Hosting Platform Migration Considerations

Current: AWS CloudFront + S3 (Multi-region, cross-region replication)
Future Options:

Platform Pros Cons Timeline Recommendation
AWS CloudFront + S3 99.9% SLA, DDoS protection, multi-region Cost, complexity Current ✅ Stay (already implemented)
GitHub Pages Free, integrated, simple Limited customization, single provider Current (DR) ✅ Keep as DR
AWS WAF Advanced protection, rate limiting, geo-blocking Additional cost 2027 Q2 🟡 High priority
Multi-CDN Strategy Resilience, performance optimization Complexity, cost 2028 Q4 🟢 Consider for scale

Decision Criteria:

  • Cost-effectiveness for static content
  • Security feature set (WAF, DDoS, monitoring)
  • ISMS compliance capabilities
  • Migration effort vs. benefit

Recommended Path:

  • 2026-2027: Stay on AWS CloudFront + S3, maximize security features
  • 2027 Q2: AWS WAF integration for advanced application-layer protection
  • 2028 Q1: Enhanced monitoring and observability (APM, SIEM)
  • 2028 Q4: Evaluate multi-CDN strategy if traffic scales significantly

5.2 Content Delivery Network (CDN) Evolution

graph LR
    Current[AWS CloudFront + S3<br/>Multi-region deployment] --> Enhanced[AWS WAF Integration<br/>Advanced application protection]
    Enhanced --> Premium[Multi-CDN Strategy<br/>Resilience & performance]
    
    style Current fill:#4caf50,color:#000000
    style Enhanced fill:#ff9800,color:#000000
    style Premium fill:#4caf50,color:#000000
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Enhancements:

AWS WAF Integration (2027 Q2)

  • Advanced Web Application Firewall (WAF) with CloudFront
  • Bot protection and rate limiting
  • Geo-blocking capabilities
  • Custom rule sets for dashboard protection
  • XSS and SQL injection prevention (defense-in-depth)

Multi-CDN Strategy (2028 Q4)

  • Primary: AWS CloudFront
  • Failover: Cloudflare or Fastly
  • Automatic failover detection via Route 53
  • Load balancing across CDNs for optimal performance

5.3 Security Tooling Roadmap

Tool Category Current (2026) Future (2027-2028) Purpose
SAST CodeQL + Semgrep, SonarCloud Enhanced code scanning
SCA Dependabot, dependency-review + npm audit, Snyk, FOSSA Better dependency insights
DAST None OWASP ZAP, Burp Suite Dynamic scanning of dashboards
Secret Scanning GitHub + GitGuardian Advanced secret detection
SBOM Manual CycloneDX, SPDX Automated generation (Chart.js, D3.js)
Container Scanning N/A N/A Not applicable (static hosting)
Fuzzing None OSS-Fuzz Input validation for CIA data
Client-Side Security None JSXray, Retire.js JavaScript vulnerability detection

6. 📋 Compliance Evolution

6.1 Framework Maturity Progression

graph TB
    subgraph "2026: Foundation"
        C1[ISO 27001: 7 controls]
        C2[NIST CSF: 6 functions]
        C3[CIS Controls: 6 controls]
    end
    
    subgraph "2027-2028: Expansion"
        C4[ISO 27001: 15 controls]
        C5[NIST CSF 2.0: Full framework]
        C6[CIS Controls: 18 controls IG2]
        C7[SOC 2 Type II readiness]
    end
    
    subgraph "2029-2030: Maturity"
        C8[ISO 27001: Certification]
        C9[ISO 27701: Privacy extension]
        C10[CIS Controls: IG3 compliance]
        C11[SOC 2 Type II audit]
    end
    
    C1 --> C4
    C2 --> C5
    C3 --> C6
    C4 --> C8
    C5 --> C9
    C6 --> C10
    C7 --> C11
    
    style C1 fill:#90caf9,color:#000000
    style C4 fill:#ff9800,color:#000000
    style C8 fill:#4caf50,color:#000000
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6.2 New Compliance Requirements

NIS2 Directive (2027 Q4)

  • Incident reporting within 24 hours
  • Supply chain security requirements
  • Board-level security responsibility
  • Regular penetration testing

EU Cyber Resilience Act (2028 Q2)

  • Software Bill of Materials (SBOM)
  • Vulnerability disclosure program
  • Security updates for product lifetime
  • CE marking for digital products

AI Act (2028-2030)

  • AI system risk categorization
  • Documentation requirements for high-risk AI
  • Human oversight mechanisms
  • Transparency obligations

6.3 Per-Control Maturity Progression

Control Framework Current Level 2027 Target 2030 Target Timeline Milestone
Cryptographic Controls ISO 27001 A.10.1 Level 2 (Classical TLS) Level 3 (Hybrid PQC) Level 4 (Full PQC) 2027 Q2 – 2028 Q1 PQC migration complete
Access Control ISO 27001 A.9.1 Level 2 (MFA, SSH) Level 3 (Zero-Trust) Level 4 (JIT, ABAC) 2027 Q2 – 2028 Q4 Zero-trust contributor model
Network Security ISO 27001 A.13.1 Level 2 (TLS/CDN) Level 3 (WAF added) Level 4 (Full ZTA) 2027 Q2 – 2028 Q4 AWS WAF + CSP nonces
Logging & Monitoring ISO 27001 A.12.4 Level 1 (GitHub Actions) Level 3 (APM+SIEM) Level 4 (AI-SIEM) 2027 Q1 – 2028 Q1 Full SIEM integration
Vulnerability Management ISO 27001 A.12.6 Level 2 (Dependabot) Level 3 (DAST added) Level 4 (Predictive) 2026 Q4 – 2027 Q3 DAST integration
Incident Management ISO 27001 A.16.1 Level 2 (Documented) Level 3 (Automated) Level 4 (AI-assisted) 2027 Q1 – 2028 Q1 Automated playbooks
Supply Chain Security ISO 27001 A.15.2 Level 2 (SBOM+SRI) Level 3 (SLSA L3) Level 4 (Full provenance) 2027 Q3 – 2028 Q1 SLSA Level 3
Identity Management ISO 27001 A.9.4 Level 2 (MFA+SSH) Level 3 (Zero-Trust) Level 4 (ABAC+JIT) 2027 Q2 – 2028 Q4 Just-in-time access
Network Monitoring NIST DE.CM-1 Level 1 (None) Level 2 (CloudFront logs) Level 3 (Behavioral AI) 2026 Q4 – 2027 Q3 Behavioral analysis
Threat Intelligence NIST ID.RA-2 Level 1 (Dependabot) Level 2 (MISP/OTX feeds) Level 3 (Predictive) 2027 Q1 – 2027 Q3 Threat feed integration
Secure Dev Lifecycle CIS 16 Level 2 (CodeQL+Dependabot) Level 3 (+DAST+Fuzz) Level 4 (Full SDL) 2026 Q4 – 2027 Q4 Full SSDLC implemented
Data Protection CIS 3 Level 2 (SRI+CSP) Level 3 (nonce-based) Level 4 (Full isolation) 2027 Q1 – 2028 Q1 CSP nonces for Chart.js

6.4 CIS Controls v8.1 Implementation Roadmap

CIS Control Description Current (IG1) 2027 (IG2) 2030 (IG3)
CIS 1 Inventory & Control of Enterprise Assets 🟢 Complete 🟢 Full 🟢 Full
CIS 2 Inventory & Control of Software Assets 🟡 Partial (SBOM) 🟢 Full 🟢 Full
CIS 3 Data Protection 🟡 Partial (SRI, CSP) 🟢 Full (nonces) 🟢 Full
CIS 4 Secure Config of Enterprise Assets 🟢 Complete (GitHub/AWS) 🟢 Full 🟢 Full
CIS 6 Access Control Management 🟡 Partial (MFA, SSH) 🟢 Full (Zero-Trust) 🟢 Full
CIS 7 Continuous Vulnerability Management 🟡 Partial (Dependabot) 🟢 Full (+DAST) 🟢 Full
CIS 8 Audit Log Management 🔴 Minimal 🟡 Partial (APM) 🟢 Full (SIEM)
CIS 12 Network Infrastructure Management 🟡 Partial (CDN) 🟢 Full (WAF) 🟢 Full
CIS 13 Network Monitoring & Defense 🔴 Minimal 🟡 Partial 🟢 Full (AI)
CIS 16 Application Software Security 🟡 Partial (SAST) 🟢 Full (+DAST) 🟢 Full
CIS 17 Incident Response Management 🟡 Documented 🟢 Automated 🟢 AI-assisted
CIS 18 Penetration Testing 🔴 None 🟡 Annual 🟢 Continuous

7. ⚠️ Risk Management

7.1 Future Risk Register

Risk ID Future Threat Likelihood (2030) Impact Mitigation Timeline
FR-01 Quantum decryption of TLS HIGH CRITICAL PQC migration 2027-2028
FR-02 AI-powered supply chain attack (Chart.js/D3.js) MEDIUM HIGH ✅ SLSA Level 2+ (2026), SBOM, SRI 2027 Q4 (Level 3)
FR-03 AWS infrastructure compromise LOW HIGH Multi-CDN strategy, AWS security best practices 2028
FR-04 DNS hijacking via Route 53 MEDIUM MEDIUM DNSSEC, DoH, IAM least privilege 2027
FR-05 Deepfake social engineering MEDIUM MEDIUM MFA, training 2026
FR-06 IoT botnet DDoS MEDIUM LOW AWS WAF, rate limiting, AWS Shield 2027
FR-07 Zero-day in GitHub Actions LOW MEDIUM SHA-pinning, attestations Ongoing
FR-08 Regulatory non-compliance MEDIUM HIGH ISMS evolution Ongoing
FR-09 XSS in Chart.js/D3.js dashboards MEDIUM MEDIUM CSP nonces, SRI, regular updates 2027
FR-10 Client-side data exfiltration LOW MEDIUM CSP, browser security, monitoring 2027

7.2 Residual Risk Evolution

graph LR
    Current[2026: 7.21/10.0<br/>LOW Risk] --> Enhanced[2027: 4.5/10.0<br/>VERY LOW Risk]
    Enhanced --> Optimized[2030: 2.0/10.0<br/>MINIMAL Risk]
    
    style Current fill:#4caf50,color:#000000
    style Enhanced fill:#4caf50,color:#000000
    style Optimized fill:#4caf50,color:#000000
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Target Risk Reduction:

  • Current: 99.5% risk reduction (web platform with dashboards)
  • 2027: 99.75% risk reduction (PQC + AI security + nonce-based CSP)
  • 2030: 99.9% risk reduction (Full zero-trust + AWS WAF)

8. 📊 Success Metrics

8.1 Key Performance Indicators (KPIs)

Metric Current (2026) Target (2027) Target (2030)
Residual Risk Score 7.21/10.0 4.5/10.0 2.0/10.0
MTTR (Incidents) <17 min <10 min <5 min
Vulnerability Window <7 days <24 hours <4 hours
Compliance Score 85% 95% 99%
Security Automation 60% 80% 95%
Threat Detection Rate N/A 95% 99%
False Positive Rate N/A <5% <2%
Dashboard XSS Protection Basic (CSP) Enhanced (nonce-based) Advanced (isolation)

8.2 Maturity Assessment

Current State: Maturity Level 2 (Managed)

  • Documented processes
  • Basic automation
  • Reactive security posture

Target 2027: Maturity Level 3 (Defined)

  • Organization-wide standards
  • Advanced automation
  • Proactive threat hunting

Target 2030: Maturity Level 4 (Quantitatively Managed)

  • Data-driven decisions
  • Predictive security
  • Continuous optimization

9. 💰 Security Investment & Budget Planning

Per-Phase Investment Estimates

Phase Period Estimated Investment Key Investments Priority
Foundation 2026 Q3-Q4 €5,000 – €10,000 Lighthouse CI, GitHub Advanced Security, SIEM baseline 🔴 High
Early Adoption 2027 Q1-Q2 €15,000 – €25,000 AWS WAF, PQC assessment, AI anomaly detection, SIEM 🔴 High
Expansion 2027 Q3-Q4 €20,000 – €35,000 Full AI security stack, behavioral analysis, SIEM integration 🟡 Medium
Maturity 2028 Q1-Q2 €25,000 – €40,000 Full PQC migration, AWS WAF, distributed tracing 🟡 Medium
Optimization 2028 Q3-Q4 €10,000 – €20,000 Audits, compliance validation, ISO 27001 certification 🟢 Low
Continuous 2029-2030 €10,000 – €15,000/yr Maintenance, audits, ISMS updates, training 🟢 Low

Total Estimated Investment (2026-2030): €85,000 – €145,000

Resource Requirements

Resource Current 2027 2028 2030
Security Architect (FTE equivalent) 0.2 0.4 0.6 0.5
DevSecOps Engineer (FTE equivalent) 0.1 0.3 0.4 0.3
External Security Auditor Annual Annual ISO 27001 pre-audit Certification
PQC Specialist (Contractor) — Q1 2027 Q1 2028 —
SIEM Administrator — Q3 2027 Full Full

Return on Investment (ROI)

Investment Cost Risk Reduction Value ROI Estimate
AWS WAF + Rate Limiting ~€5,000/yr Prevents DDoS, reduces XSS exposure 10x – 20x
AI Anomaly Detection ~€8,000/yr Early threat detection, reduces MTTR by 70% 5x – 15x
PQC Migration ~€20,000 one-time Future-proofs encryption against quantum threats Long-term strategic
SIEM Integration ~€12,000/yr Compliance automation, faster incident response 3x – 8x
ISO 27001 Certification ~€15,000 Customer trust, regulatory compliance, contracts 5x – 10x
GitHub Advanced Security ~€3,000/yr Automated vulnerability detection in CI/CD 8x – 15x

Cost Optimization Strategies

  • ✅ Open-Source First: Prefer OSS tools (ELK, Semgrep) over commercial solutions
  • ✅ GitHub-Native: Leverage GitHub Advanced Security features (included in GitHub Enterprise)
  • ✅ AWS Reserved Instances: Reserved capacity for CloudFront/WAF for cost predictability
  • ✅ Automation: Reduce manual security effort through GitHub Actions automation
  • ✅ Phased Investment: Align spending with roadmap milestones to manage cash flow

10. 🤝 Conclusion

This Future Security Architecture demonstrates Hack23 AB's commitment to proactive security evolution rather than reactive patching. By implementing post-quantum cryptography before it's necessary, AI-augmented security before attacks become fully autonomous, and zero-trust principles before breaches occur, Riksdagsmonitor will maintain its security leadership while delivering interactive Chart.js/D3.js dashboards.

Key Takeaways:

  • 🔐 Post-Quantum Ready by 2028 - Ahead of predicted quantum threat timeline
  • 🤖 AI-Augmented Security by 2027 - Machine learning for threat detection
  • 🛡️ Zero-Trust Architecture by 2028 - Comprehensive trust verification
  • 📊 99.9% Risk Reduction by 2030 - Industry-leading security posture
  • 🏆 ISO 27001 Certification Track - Formal compliance validation
  • 🎨 Nonce-Based CSP by 2027 - Eliminate 'unsafe-inline' for Chart.js/D3.js
  • ☁️ AWS WAF Integration by 2027 - Advanced application-layer protection

Alignment with Business Goals:

  • 💼 Competitive advantage through security leadership
  • 🤝 Customer trust through transparency
  • 💰 Cost efficiency through automation
  • 🚀 Innovation enablement through secure foundation
  • 📋 Compliance posture supporting expansion

🤖 AI/LLM Security Evolution (2026-2037)

AI Model Security Trajectory

Current State (2026): Anthropic Claude Opus 4.7 via Amazon Bedrock with safe-outputs validation

Security Implications of AI Evolution:

Period AI Model Level Security Challenges Mitigations
2026-2027 Opus 4.7-5.x (minor updates ~2.3mo) Prompt injection, model hallucination, bias Safe-outputs validation, human review, bias testing
2028-2029 Opus 6.x-7.x (annual major upgrades) Autonomous agent risks, multi-modal attack vectors Agent sandboxing, output filtering, behavioral monitoring
2030-2032 Opus 8.x-10.x / Pre-AGI AI-powered adversarial attacks, deepfake political content AI-augmented SIEM, deepfake detection, content provenance
2033-2035 Near-AGI systems Autonomous threat actors, AI arms race Zero-trust AI, formal verification, cryptographic AI attestation
2036-2037 AGI / Post-AGI era Superhuman threat actors, unknown attack vectors Quantum-resistant crypto, AI alignment verification, democratic safeguards

AI Security Controls Roadmap

Phase 1 (2026-2027): Foundation

  • ✅ Amazon Bedrock guardrails and content filtering
  • ✅ Safe-outputs validation for all agent actions
  • ✅ Model output auditing and logging
  • 🔄 Prompt injection detection and prevention
  • 🔄 AI model version pinning with rollback capability

Phase 2 (2028-2030): Advanced Protection

  • 🔴 AI-powered threat detection (behavioral analytics)
  • 🔴 Multi-modal content provenance (C2PA standard)
  • 🔴 Autonomous agent containment and monitoring
  • 🔴 AI model supply chain security (model signing, attestation)

Phase 3 (2031-2033): Pre-AGI Security

  • 🔴 Formal verification of AI agent behavior
  • 🔴 Cryptographic attestation of AI-generated content
  • 🔴 AI alignment monitoring and enforcement
  • 🔴 Decentralized AI security governance

Phase 4 (2034-2037): AGI-Era Security

  • 🔴 Post-quantum cryptography fully deployed
  • 🔴 AI-to-AI security protocols
  • 🔴 Democratic oversight mechanisms for AGI systems
  • 🔴 Global threat intelligence federation
  • 🔴 Autonomous security response with human override

LLM Competitor Security Considerations

Multi-Model Security Strategy:

  • Evaluate security posture of each model provider (Anthropic, OpenAI, Google, Meta) at every major release
  • Maintain model-agnostic security controls that work across all providers via Amazon Bedrock
  • Monitor for model-specific vulnerabilities disclosed by security researchers
  • Continuous benchmarking of AI safety features every ~2.3 months aligned with minor model updates
  • Prepare for potential paradigm shifts (quantum AI, neuromorphic computing) requiring new security frameworks

📖 References

ISMS Documentation

External Standards

Related Hack23 Repositories

Riksdagsmonitor Architecture Portfolio

Document Focus
🏛️ Architecture C4 models
📊 Data Model Data entities
🔄 Flowchart Process flows
📈 State Diagram State transitions
🧠 Mindmap Conceptual relationships
💼 SWOT Strategic analysis
🛡️ Security Architecture Current security controls
🎯 Threat Model STRIDE/MITRE ATT&CK
🔮 Future Threat Model Future threat analysis
🔮 Future Security Architecture Planned security (this document)

Document Control
Repository: https://github.com/Hack23/riksdagsmonitor
Path: /FUTURE_SECURITY_ARCHITECTURE.md | Classification: Public | Next Review: 2026-05-24
Change Management: Requires Security Architect approval for major revisions

ISO 27001 NIST CSF 2.0 CIS Controls v8.1 NIS2 GDPR

🌐 Evolving the Current IMF Security Boundary toward the Future Zero-Trust State

Baseline: the already-implemented IMF trust boundary, egress allow-list, and STRIDE coverage are documented in SECURITY_ARCHITECTURE.md §IMF and THREAT_MODEL.md §IMF. The diagram below shows how those existing controls evolve when the runtime moves to AWS Lambda + Aurora.

Authoritative hub: analysis/imf/README.md · analysis/imf/agentic-integration.md · analysis/imf/indicators-inventory.json · analysis/imf/data-dictionary.md · .github/aw/ECONOMIC_DATA_CONTRACT.md

Trust boundary (target zero-trust state)

flowchart LR
    subgraph Trusted["Trust Boundary — Riksdagsmonitor (AWS GovCloud-like posture)"]
        Lambda[Lambda Workers · IMF context]
        Cache[(Aurora · imf_cache · SHA-256 + vintage pin)]
        Audit[CloudTrail + GuardDuty]
    end
    subgraph Public["Public-Internet · IMF Open APIs (no auth)"]
        Datamapper[www.imf.org/external/datamapper/api/v1]
        SDMX[sdmxcentral.imf.org]
    end
    Lambda -- HTTPS · TLS 1.3 · pinned SHA-256 --> Datamapper
    Lambda -- HTTPS · TLS 1.3 · pinned SHA-256 --> SDMX
    Datamapper -. JSON payload .-> Lambda
    SDMX -. SDMX-JSON payload .-> Lambda
    Lambda --> Cache
    Lambda --> Audit
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IMF-specific controls (mapped to target frameworks)

Control Implementation ISO 27001 NIST CSF 2.0 CIS v8.1
Egress allow-list Squid + iptables limit egress to www.imf.org, sdmxcentral.imf.org only A.13.1 PR.AC-5 13.4
Payload integrity SHA-256 pin per (dataflow, indicator, country, vintage); supersedes-chain A.8.2 PR.DS-6 3.11
Vintage discipline Reject payload >6 mo old without staleness annotation A.8.10 PR.DS-1 3.5
Rate-limit guard ≤30 req/min self-imposed; exponential back-off; emits metric A.13.1 PR.AC-4 4.7
Provenance audit Every article-claim row in article_economic_provenance A.5.28 DE.AE-3 8.2
No auth, no PII IMF data is anonymous public macro statistics; GDPR DPIA short-circuit A.5.34 GV.OV 14.2

Future BIA addition

Asset Confidentiality Integrity Availability RTO RPO
IMF cache (Aurora) PUBLIC HIGH STANDARD 24h N/A
IMF API egress path PUBLIC HIGH STANDARD 24h (fallback to last cached vintage) N/A

Egress hosts (allow-list): www.imf.org (Datamapper REST · WEO/FM), sdmxcentral.imf.org (SDMX 3.0 REST · IFS/BOP/DOTS/GFS/PCPS/ER/MFS_IR/MFS_PR). Both HTTPS-only, anonymous, public — no credentials required.

Canonical rule. Every economic claim in a Riksdagsmonitor article cites an IMF dataflow first; World Bank citations are reserved for governance, environment and social residue (the classes IMF does not publish). SCB is the Swedish-specific ground truth layer. See ECONOMIC_DATA_CONTRACT.md v2.1 for the banned-phrase list and vintage discipline (>6 mo → annotation).