🚀 Riksdagsmonitor — Future Security Architecture

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

Document Version: 2.1
Last Updated: 2026-05-31
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

• Architecture Documentation Map
• ISMS Policy Alignment

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.

🔐 ISMS Policy Alignment

Policy Framework Integration

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

Security Control Implementation Status

Alignment with NIST CSF 2.0 Functions

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
Copy

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
Copy

2.2 Regulatory Evolution

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
Copy

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
Copy

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
Copy

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)

3.5 🛰️ Intelligence-Integrity & Counter-AI Controls (OSINT/INTOP, to 2037)

Fielding the Political-Intelligence Capability Catalog (C1–C32) makes analytic integrity a first-class security property. The threats in FUTURE_THREAT_MODEL.md §Political-Intelligence Capability Threat Analysis (PI-T1…PI-T7) are countered here by integrity-by-construction: nothing reaches a published judgment without an evidence anchor, a provenance check, a neutrality gate and a human sign-off. These controls realize the catalog's assurance pillar (C26–C32).

3.5.1 Control set

3.5.2 Control architecture

flowchart TD
    SRC[Public sources] --> ING[Ingest plus provenance sign<br/>II-2]
    ING --> POIS{Poisoning plus injection screen<br/>II-3}
    POIS -->|Reject| QUAR[Quarantine plus alert]
    POIS -->|Clean| EVID{Evidence-anchor gate<br/>II-1}
    EVID -->|No dok_id| DROP[Reject record]
    EVID -->|Anchored| ANAL[SAT plus forecast engine]
    ANAL --> CAL{Calibration gate<br/>II-5}
    CAL -->|Drift| HOLD[Hold for retrain]
    CAL -->|OK| NEUT{Neutrality gate<br/>II-4}
    NEUT -->|Asymmetric| REWORK[Rebalance]
    NEUT -->|Symmetric| SIGN[Human sign-off<br/>II-8 plus II-9]
    SIGN --> PUB[Publish plus audit trail]
    REWORK --> ANAL

    style POIS fill:#ff006e,color:#ffffff
    style EVID fill:#ff006e,color:#ffffff
    style CAL fill:#ff006e,color:#ffffff
    style NEUT fill:#ff006e,color:#ffffff
    style SIGN fill:#9c27b0,color:#ffffff
    style PUB fill:#4caf50,color:#000000
    style DROP fill:#f44336,color:#ffffff
    style QUAR fill:#f44336,color:#ffffff
Copy

3.5.3 Framework mapping

Governing principle. Security for a political-intelligence capability is not perimeter defense alone — it is integrity of the analytic product. Controls II-1…II-9 ensure that even a fully compromised model or a poisoned source cannot launder a manipulated, biased, or unevidenced judgment through the platform's credibility. Every gate is fail-closed; every published product is reproducible, neutral, evidence-anchored and human-accountable under the Hack23 AI Policy.

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
Copy

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:

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
Copy

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

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
Copy

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

6.4 CIS Controls v8.1 Implementation Roadmap

7. ⚠️ Risk Management

7.1 Future Risk Register

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
Copy

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)

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

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

Resource Requirements

Return on Investment (ROI)

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 4.8 via Amazon Bedrock with safe-outputs validation

Security Implications of AI Evolution:

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

• SECURITY_ARCHITECTURE.md - Current security controls
• THREAT_MODEL.md - Current threat analysis
• WORKFLOWS.md - CI/CD workflows
• ARCHITECTURE.md - System architecture
• Hack23 ISMS
• Information Security Policy
• Secure Development Policy
• Access Control Policy
• Risk Management Policy
• Cryptography Policy

External Standards

• NIST Post-Quantum Cryptography
• SLSA Supply Chain Security
• OWASP Application Security
• CIS Controls v8.1
• NIST CSF 2.0
• ISO 27001:2022
• EU Cyber Resilience Act
• NIS2 Directive

Related Hack23 Repositories

• Citizen Intelligence Agency - Reference security architecture
• Black Trigram - Reference security patterns
• Hack23 ISMS-PUBLIC - ISMS policies and standards

Riksdagsmonitor Architecture Portfolio

Document Control
Repository: https://github.com/Hack23/riksdagsmonitor
Path: /FUTURE_SECURITY_ARCHITECTURE.md | Classification: Public | Next Review: 2026-08-31
Change Management: Requires Security Architect approval for major revisions

🌐 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 (Datamapper unauth · SDMX subscription-key)"]
        Datamapper[www.imf.org/external/datamapper/api/v1]
        SDMX[api.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
Copy

IMF-specific controls (mapped to target frameworks)

Future BIA addition

Egress hosts (allow-list): www.imf.org (Datamapper REST · WEO/FM, unauthenticated), api.imf.org (SDMX 3.0 REST · IFS/BOP/DOTS/GFS/PCPS/ER/MFS_IR/MFS_PR, subscription-key authenticated via the Azure APIM Ocp-Apim-Subscription-Key header / IMF_SDMX_SUBSCRIPTION_KEY secret). Both HTTPS-only; payloads are public macro statistics with no PII.

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).

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