📉 Hack23 AB — Risk Register

Systematic Risk Management Through Comprehensive Assessment
Enterprise-grade Risk Framework Demonstrating Cybersecurity Excellence

📋 Document Owner: CEO | 📄 Version: 3.9 | 📅 Last Updated: 2026-06-28 (UTC)
🔄 Review Cycle: Quarterly | ⏰ Next Review: 2026-09-28

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🎯 Purpose Statement

Hack23 AB's risk register demonstrates how systematic risk assessment directly enables both security excellence and informed business decision-making. Our comprehensive risk management framework serves as both operational necessity and client demonstration of our cybersecurity consulting methodologies.

— James Pether Sörling, CEO/Founder

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🔍 Scope & Application

This register documents all identified risks affecting Hack23 AB operations, applying the quantitative risk assessment methodology defined in Risk Assessment Methodology. Risk scores are calculated using Risk Score = Probability × Impact × 100 with comprehensive business impact analysis per our Classification Framework.

📊 Risk Analytics Dashboard

Next Review: 2026-09-28

🎯 Executive Risk Summary

Risk Portfolio Overview	Value	Trend	Target
Total Active Risks	26	↑	18
Critical Risks	2	→	1
High Risks	7	↑	4
Medium Risks	12	↑	6
Low Risks	4	→	4
Minimal Risks	1	→	0
Average Risk Score	185	↓	<150
Total ALE	€258K	↑	<€100K

📈 Updated Risk Heat Matrix

%%{init: {'theme': 'base', 'themeVariables': {'primaryColor': '#FFFFFF'}}}%%
graph TB
    subgraph "Impact →"
        subgraph "6 - Catastrophic"
            A6["R-FOUNDER-001<br/>(480)"]
        end
        subgraph "5 - Critical"
            A5["R-MARKET-001<br/>(400)"]
            B5["R-CASH-001<br/>(320)<br/>R-CONCENTRATION-001<br/>(320)"]
        end
        subgraph "4 - High"
            B4["R-AWS-001<br/>(240)<br/>R-CYBER-001<br/>(240)<br/>R-AI-LIABILITY-001<br/>(240)<br/>R-CREDIT-001<br/>(240)<br/>R-DISINFO-001<br/>(240)"]
        end
        subgraph "3 - Moderate"
            B3["R-SUPPLIER-001<br/>(180)<br/>R-INCIDENT-001<br/>(180)<br/>R-LEGAL-001<br/>(180)<br/>R-MCP-001<br/>(180)"]
            C3["R-IP-001<br/>(160)<br/>R-PROF-LIABILITY-001<br/>(160)<br/>R-SUPPLYCHAIN-001<br/>(160)<br/>R-PROCESS-001<br/>(120)<br/>R-AGENT-002<br/>(120)<br/>R-TAX-001<br/>(120)<br/>R-DDOS-001<br/>(120)<br/>R-GDPR-001<br/>(100)"]
        end
        subgraph "2 - Low"
            D2["R-COMP-001<br/>(80)<br/>R-ACCESS-001<br/>(80)<br/>R-AGENT-001<br/>(80)<br/>R-TECH-001<br/>(60)"]
        end
        subgraph "1 - Minimal"
            B1["R-PHYS-001<br/>(20)"]
        end
    end
    
    classDef critical fill:#D32F2F,stroke:#D32F2F,stroke-width:3px,color:#fff
    classDef high fill:#FF9800,stroke:#F57C00,stroke-width:2px,color:#fff
    classDef medium fill:#FFC107,stroke:#F9A825,stroke-width:2px,color:#000
    classDef low fill:#4CAF50,stroke:#388E3C,stroke-width:1px,color:#fff
    classDef minimal fill:#9E9E9E,stroke:#1565C0,stroke-width:1px,color:#fff
    
    class A6,A5 critical
    class B5,B4 high
    class B3,C3 medium
    class D2 low
    class B1 minimal

🏆 Top Strategic Risks (Q2 2026 Review)

Risk ID	Risk Title	Score	Category	Owner	Due Date
R-FOUNDER-001	Founder Burnout/Incapacitation	480		CEO	2026-09-28
R-MARKET-001	Market Validation Failure	400		CEO	2026-09-28
R-CASH-001	Cash Flow Depletion	320		CEO	2026-09-28
R-CONCENTRATION-001	Client Concentration Risk	320		CEO	2026-09-28
R-AWS-001	AWS Service Disruption	240		CEO	2026-09-28
R-CYBER-001	Security Breach	240		CEO	2026-09-28
R-AI-LIABILITY-001	AI-Generated Content Liability	240		CEO	2026-09-28
R-DISINFO-001	Information Integrity & Election Interference	240		CEO	2026-09-28

🏆 Pentagon Dimension Distribution

Risk portfolio organized by Pentagon of Continuous Improvement dimensions:

Pentagon Dimension	Risk Count	Example Risks	Avg Score	Priority Multiplier
🔒 Security	10	R-CYBER-001, R-AWS-001, R-AI-LIABILITY-001, R-DISINFO-001, R-MCP-001, R-SUPPLYCHAIN-001, R-DDOS-001, R-SUPPLIER-001, R-INCIDENT-001, R-PHYS-001	180	2.0×
📋 ISMS Controls	6	R-FOUNDER-001, R-GDPR-001, R-ACCESS-001, R-AGENT-001, R-AGENT-002, R-TAX-001	163	2.0×
🚀 Functionality	4	R-MARKET-001, R-CASH-001, R-CREDIT-001, R-CONCENTRATION-001	320	1.8×
✨ Quality	5	R-TECH-001, R-PROCESS-001, R-IP-001, R-LEGAL-001, R-PROF-LIABILITY-001	136	1.5×
🧪 QA	1	R-COMP-001	80	1.3×

Key Insights:

• Highest Priority: Security and ISMS Controls dimensions (2.0× multiplier) contain majority of risks
• Business Critical: Functionality dimension contains all revenue-impacting risks (avg score 320)
• Balanced Coverage: All 5 Pentagon dimensions represented, ensuring holistic risk management
• Strategic Alignment: Risk prioritization directly supports Information Security Strategy Pentagon framework

🤖 Agent Monitoring Coverage

Automated risk monitoring through curated agent ecosystem:

Metric	Current Status	Target	Status
Total Risks Monitored	26/26 (100%)	100%	✅ Complete
Continuous Monitoring (Weekly)	9 Critical/High risks	All Critical/High	✅ Achieved
Periodic Monitoring (Bi-weekly/Monthly)	17 Medium/Low/Minimal risks	All Medium/Low	✅ Achieved
Automated Evidence Links	22/26 (85%)	>80%	✅ Achieved
Agent Triage Accuracy	94% (validated vs human)	>85%	✅ Exceeded
Pentagon Coverage	26/26 (100%)	100%	✅ Complete

Agent Assignments by Risk Level:

• Critical Risks (2): ISMS Ninja + Security Architect + Business Dev Specialist (weekly)
• High Risks (7): Specialist agents per Pentagon dimension (weekly)
• Medium Risks (12): Specialist agents per Pentagon dimension (bi-weekly/monthly)
• Low/Minimal Risks (5): Test Specialist + periodic monitoring (quarterly)

Evidence Automation Sources:

• OpenSSF Scorecard: Real-time supply chain security metrics
• GitHub Actions: Automated evidence generation and CI/CD workflows
• SonarCloud: Code quality and security vulnerability scanning
• FOSSA: License compliance and dependency vulnerability tracking
• GitHub Security: Dependabot alerts and secret scanning findings

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📉 Risk Management Workflow

Hack23's risk management process from identification to continuous monitoring, demonstrating systematic risk lifecycle management aligned with ISO 27001 and NIST CSF 2.0.

flowchart TD
    START["🔍 Risk Identified<br/>Internal/External Source"] --> ASSESS{"📊 Risk Assessment<br/>Likelihood × Impact × 100"}
    
    ASSESS -->|Critical/High<br/>Score > 240| EXTERNAL["🤝 External Consultant<br/>Review Required<br/>Independent Validation"]
    ASSESS -->|Medium/Low<br/>Score ≤ 240| CEO_ASSESS["👨‍💼 CEO Risk Assessment<br/>Standardized Template<br/>Risk Methodology"]
    
    EXTERNAL --> TREATMENT{"🎯 Risk Treatment<br/>Decision Point"}
    CEO_ASSESS --> TREATMENT
    
    TREATMENT -->|Mitigate| CONTROL["✅ Implement Controls<br/>Reduce Likelihood/Impact<br/>Technical & Procedural"]
    TREATMENT -->|Accept| ACCEPT["⚠️ Risk Acceptance<br/>Document Justification<br/>CEO Approval Required"]
    TREATMENT -->|Transfer| INSURANCE["💼 Insurance/Partnership<br/>Transfer Risk<br/>Third Party Agreement"]
    TREATMENT -->|Avoid| AVOID["🚫 Avoid Activity<br/>Eliminate Risk Source<br/>Discontinue Operation"]
    
    CONTROL --> REGISTER["📋 Risk Register<br/>Document & Track<br/>ALE Calculation"]
    ACCEPT --> REGISTER
    INSURANCE --> REGISTER
    AVOID --> REGISTER
    
    REGISTER --> MONITOR["📊 Quarterly Review<br/>Monitor Effectiveness<br/>Recalculate Risk Score"]
    
    MONITOR -->|Risk Changed<br/>Score ±20%| ASSESS
    MONITOR -->|Control Effective<br/>Score Stable| MAINTAIN["✅ Maintain Controls<br/>Annual Deep Review<br/>Documentation Update"]
    
    MAINTAIN --> ANNUAL{"🔄 Annual<br/>Review Cycle"}
    ANNUAL --> ASSESS
    
    style START fill:#2196F3,stroke:#1565C0,stroke-width:3px,color:#fff
    style ASSESS fill:#FF9800,stroke:#F57C00,stroke-width:3px,color:#fff
    style EXTERNAL fill:#7B1FA2,stroke:#4A148C,stroke-width:2px,color:#fff
    style CEO_ASSESS fill:#1565C0,stroke:#0D47A1,stroke-width:2px,color:#fff
    style TREATMENT fill:#FF9800,stroke:#F57C00,stroke-width:3px,color:#fff
    style CONTROL fill:#4CAF50,stroke:#2E7D32,stroke-width:2px,color:#fff
    style ACCEPT fill:#FFC107,stroke:#F9A825,stroke-width:2px,color:#000
    style INSURANCE fill:#2196F3,stroke:#1565C0,stroke-width:2px,color:#fff
    style AVOID fill:#D32F2F,stroke:#B71C1C,stroke-width:2px,color:#fff
    style REGISTER fill:#1565C0,stroke:#0D47A1,stroke-width:2px,color:#fff
    style MONITOR fill:#7B1FA2,stroke:#4A148C,stroke-width:2px,color:#fff
    style MAINTAIN fill:#4CAF50,stroke:#2E7D32,stroke-width:2px,color:#fff
    style ANNUAL fill:#FF9800,stroke:#F57C00,stroke-width:2px,color:#fff

Key Takeaways:

• 🔍 Risk Identification: Risks identified from internal assessments, external sources, threat intelligence, and incident reviews
• 📊 Assessment Threshold: Critical/High risks (Score > 240) require external consultant review for independent validation
• 🎯 Treatment Options: Four systematic approaches - Mitigate (reduce), Accept (document), Transfer (insurance/partnership), Avoid (eliminate)
• 📋 Risk Register: All risks documented with quantitative scoring using Risk Score = Probability × Impact × 100
• 📊 Quarterly Monitoring: Continuous effectiveness review with recalculation and re-assessment trigger when score changes ±20%
• 🔄 Annual Deep Review: Comprehensive risk reassessment cycle ensures risks remain relevant and controls effective

Related Documents:

• 📊 Risk Assessment Methodology — Quantitative risk scoring framework
• 🏷️ Classification Framework — Business impact definitions
• 🔐 Information Security Policy — Risk management governance
• 🤝 Third Party Management — Supplier risk assessment
• 🚨 Incident Response Plan — Risk event handling
• 🔄 Business Continuity Plan — Risk mitigation strategies

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🤖 AI Agent Risk Monitoring Framework

Hack23 AB's curated agent ecosystem (per Information Security Strategy) provides continuous risk monitoring aligned with the Pentagon of Continuous Improvement framework.

📋 Continuous Risk Monitoring Architecture

flowchart TD
    TASK["📋 Task Agent<br/>Weekly Analysis"] --> MONITOR["📊 Risk KPI Monitoring"]
    MONITOR --> CHANGE{"🚨 Risk Score<br/>Change > ±20%?"}
    CHANGE -->|Yes| RECALC["📊 Automated<br/>Score Recalculation"]
    CHANGE -->|No| CONTINUE["✅ Continue Monitoring"]
    
    RECALC --> CRITICAL{"🔴 Critical Risk?<br/>Score > 400"}
    CRITICAL -->|Yes| CEO["👨‍💼 CEO Immediate<br/>Notification"]
    CRITICAL -->|No| UPDATE["📝 Register<br/>Auto-Update"]
    
    CEO --> REVIEW["🔍 Human Risk<br/>Assessment"]
    UPDATE --> EVIDENCE["📊 Evidence Update<br/>Automated Sources"]
    REVIEW --> EVIDENCE
    
    EVIDENCE --> REGISTER["📋 Risk Register<br/>Synchronized"]
    
    style TASK fill:#2196F3,stroke:#1565C0,stroke-width:2px,color:#fff
    style MONITOR fill:#4CAF50,stroke:#2E7D32,stroke-width:2px,color:#fff
    style CHANGE fill:#FF9800,stroke:#F57C00,stroke-width:3px,color:#fff
    style RECALC fill:#7B1FA2,stroke:#4A148C,stroke-width:2px,color:#fff
    style CONTINUE fill:#4CAF50,stroke:#2E7D32,stroke-width:2px,color:#fff
    style CRITICAL fill:#FF9800,stroke:#F57C00,stroke-width:3px,color:#fff
    style CEO fill:#FFC107,stroke:#F57C00,stroke-width:3px,color:#000
    style UPDATE fill:#4CAF50,stroke:#2E7D32,stroke-width:2px,color:#fff
    style REVIEW fill:#7B1FA2,stroke:#4A148C,stroke-width:2px,color:#fff
    style EVIDENCE fill:#2196F3,stroke:#1565C0,stroke-width:2px,color:#fff
    style REGISTER fill:#1565C0,stroke:#0D47A1,stroke-width:2px,color:#fff

📊 Agent Risk Monitoring Metrics

Continuous Monitoring KPIs:

• Risk Discovery Rate: Agent-identified risks per analysis cycle (target: >60% automation)
• Monitoring Frequency: Weekly automated KPI checks for all Critical/High risks
• Score Recalculation Accuracy: Agent-calculated vs human-validated scores (target: >95% agreement)
• Evidence Automation Rate: Automated evidence links (GitHub Actions, OpenSSF Scorecard, SonarCloud) per risk (target: >80%)
• Pentagon Prioritization Coverage: Risks mapped to Pentagon dimensions (target: 100%)

🏆 Pentagon-Driven Risk Prioritization

Risk scores adjusted by Pentagon dimension priority multipliers per Information Security Strategy:

Pentagon Dimension	Risk Categories	Priority Multiplier	Agent Monitoring
🔒 Security	R-CYBER-001, R-AWS-001, R-AI-LIABILITY-001, R-SUPPLIER-001, R-INCIDENT-001, R-PHYS-001	2.0×	Security Architect (weekly)
📋 ISMS Controls	R-FOUNDER-001, R-GDPR-001, R-ACCESS-001, R-AGENT-001, R-AGENT-002, R-TAX-001	2.0×	ISMS Ninja (weekly)
🚀 Functionality	R-MARKET-001, R-CASH-001, R-CREDIT-001, R-CONCENTRATION-001	1.8×	Business Dev Specialist (weekly)
✨ Quality	R-TECH-001, R-PROCESS-001, R-IP-001, R-LEGAL-001, R-PROF-LIABILITY-001	1.5×	Code Quality Engineer (bi-weekly)
🧪 QA	R-COMP-001	1.3×	Test Specialist (monthly)

Key Takeaways:

• 🤖 Automated Monitoring: Task agents perform weekly KPI analysis for all risks in this register
• 🚨 Critical Risk Escalation: Risks >400 score trigger immediate CEO notification
• 📊 Evidence Automation: Agents integrate OpenSSF Scorecard, GitHub Actions, and SonarCloud data
• 🏆 Pentagon Prioritization: Risk treatment resources allocated by Pentagon dimension multipliers
• 🔄 Continuous Improvement: Agent-identified gaps drive quarterly risk register evolution

Related Documents:

• 🎯 Information Security Strategy — Pentagon framework and AI agent ecosystem
• 📊 Risk Assessment Methodology — Agent risk scoring integration
• 🤖 AI Policy — Agent governance and least-privilege requirements

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🗂️ Comprehensive Risk Register

All risks assessed using our Risk Assessment Methodology with quantitative scoring adjusted for current business scale and context.

📋 Common Risk Controls

Controls implemented across multiple risks (referenced in individual risk entries to reduce repetition):

Control ID	Control Name	Applies To Risks	Description
C-SEC-001	AWS Security Services	R-AWS-001, R-CYBER-001, R-INCIDENT-001	8 active AWS security services: GuardDuty, Security Hub, CloudTrail, Config, Inspector, WAF, Macie, Detective
C-SEC-002	MFA Enforcement	R-CYBER-001, R-ACCESS-001, R-AWS-001	Multi-factor authentication on all critical accounts
C-SEC-003	Security Scanning	R-CYBER-001, R-TECH-001, R-AGENT-001	SonarCloud SAST, FOSSA SCA, Dependabot, OpenSSF Scorecard
C-DOC-001	Comprehensive Documentation	R-FOUNDER-001, R-ACCESS-001, R-INCIDENT-001	All processes documented per Asset Register, quarterly updates
C-PARTNER-001	Partnership Framework	R-FOUNDER-001, R-SUPPLIER-001	Strategic partner network per Partnership_Framework.md
C-BACKUP-001	Automated Backups	R-AWS-001, R-FOUNDER-001, R-INCIDENT-001	Multi-region backup systems, 30-day retention
C-MONITOR-001	Security Monitoring	R-CYBER-001, R-AWS-001, R-ACCESS-001, R-INCIDENT-001	Daily alerts review, weekly vulnerability scanning
C-COMP-001	Compliance Framework	R-GDPR-001, R-TAX-001, R-LEGAL-001	Privacy Policy, Data Classification, Access Control policies
C-INS-001	Insurance Coverage	R-FOUNDER-001, R-PROF-LIABILITY-001, R-IP-001	Professional indemnity, cyber insurance evaluation
C-SEC-004	Edge & Availability Protection	R-DDOS-001, R-DISINFO-001, R-AWS-001	AWS WAF, 5 CloudFront distributions, S3 static hosting, AWS Shield Standard, DNSSEC on 6 domains
C-SUPPLY-001	Supply Chain Integrity	R-SUPPLYCHAIN-001, R-CYBER-001, R-TECH-001	SLSA Level 3 provenance, signed SBOM (SPDX/CycloneDX), npm package provenance, pinned dependencies
C-AI-001	AI Output Governance	R-MCP-001, R-DISINFO-001, R-AI-LIABILITY-001, R-AGENT-002	Mandatory human-in-the-loop review, OWASP LLM controls, ISMS context loading, CEO PR approval

🎯 Risk Treatment Summary

Treatment Strategy	Risk Count	Risk IDs	Implementation Status
Mitigate with Controls	26	R-AWS-001, R-CYBER-001, R-GDPR-001, R-SUPPLIER-001, R-IP-001, R-PROCESS-001, R-INCIDENT-001, R-TAX-001, R-TECH-001, R-ACCESS-001, R-AGENT-001, R-AGENT-002, R-PHYS-001, R-CASH-001, R-CREDIT-001, R-CONCENTRATION-001, R-AI-LIABILITY-001, R-COMP-001, R-FOUNDER-001, R-MARKET-001, R-LEGAL-001, R-PROF-LIABILITY-001, R-DISINFO-001, R-MCP-001, R-SUPPLYCHAIN-001, R-DDOS-001	Technical + procedural controls active
Accept with Mitigation	7	R-FOUNDER-001, R-MARKET-001, R-LEGAL-001, R-PROCESS-001, R-INCIDENT-001, R-ACCESS-001, R-AGENT-001	Risk accepted with compensating controls
Transfer (Insurance)	1	R-PROF-LIABILITY-001	Professional indemnity coverage active

📊 Classification Impact Summary

Common classification patterns across risks (reduces repetition in individual entries):

Classification Type	High Impact Risks	Moderate Impact Risks	Low Impact Risks
Confidentiality	R-FOUNDER-001 (Extreme), R-CYBER-001 (High), R-IP-001 (High)	R-AWS-001 (Moderate), R-ACCESS-001 (Moderate)	R-PHYS-001 (Low), R-TECH-001 (Low), R-DISINFO-001 (Public)
Integrity	R-FOUNDER-001 (Critical), R-CYBER-001 (High), R-GDPR-001 (High), R-DISINFO-001 (High), R-SUPPLYCHAIN-001 (High)	R-AWS-001 (Moderate), R-AGENT-002 (Moderate), R-MCP-001 (Moderate)	R-COMP-001 (Low), R-PHYS-001 (Minimal)
Availability	R-FOUNDER-001 (Mission Critical), R-AWS-001 (High), R-CASH-001 (High)	R-CYBER-001 (Moderate), R-SUPPLIER-001 (Moderate), R-DDOS-001 (Moderate)	R-TECH-001 (Low), R-PHYS-001 (Best Effort)

🔴 Critical Risks (Score: 400-600)

R-FOUNDER-001: Founder Burnout/Incapacitation

Risk: Single founder unable to continue operations | Category: | Pentagon:

📊 Risk Metrics: Probability 4/5 | Impact 6/5 | Score: 480 | Target: 360 (25% reduction via knowledge transfer)

💰 Financial: SLE €50K | ARO 0.3 | ALE €15K | VaR €60K (95% CI, 12mo)

🔒 CIA Impact: Confidentiality | Integrity | Availability

🛡️ Controls: C-DOC-001, C-PARTNER-001, C-BACKUP-001, C-INS-001 | Partnership_Framework.md | Founder_Knowledge_Transfer_Template.md | Partnership_Emergency_Activation_Runbook.md 4-hour RTO

📈 Treatment: Priority 1: Maintain knowledge transfer (quarterly) | Priority 2: Onboard 2-3 Tier 1 partners | Priority 3: Business continuation insurance | Priority 4: Semi-annual drills

🤖 Monitoring: ISMS Ninja + Security Architect (weekly) | Next Review: 2026-09-28 | Owner: CEO

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R-MARKET-001: Market Validation Failure

Risk: No market demand for products/services, unable to acquire customers | Category: | Pentagon:

📊 Risk Metrics: Probability 4/5 | Impact 5/5 | Score: 400

💰 Financial: SLE €40K | ARO 0.6 | ALE €24K | VaR €72K (95% CI, 12mo)

🎯 Strategic Impact: Buyer Power | Competitive Rivalry

🛡️ Controls: Market research per Business_Strategy.md | Lean startup MVP | Open source community feedback | Industry networking

📈 Treatment: Priority 1: Customer development and validation | Priority 2: MVP testing with users | Priority 3: Pivot strategy if needed

🤖 Monitoring: Business Dev Specialist (weekly market analysis) | Next Review: 2026-09-28 | Owner: CEO

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🟠 High Risks (Score: 200-399)

R-AWS-001: AWS Service Disruption

Risk: AWS service outages affecting applications/data | Category: | Pentagon:

📊 Risk Metrics: Probability 3/5 | Impact 4/5 | Score: 240

💰 Financial: SLE €2K | ARO 0.8 | ALE €1.6K | VaR €4.8K (95% CI, 12mo)

🛡️ Controls: C-SEC-001, C-BACKUP-001, C-MONITOR-001 | Multi-AZ deployment | Health check integration

📈 Treatment: Priority 1: Maintain multi-region architecture | Priority 2: Regular disaster recovery testing | Priority 3: Monitor AWS service health

🤖 Monitoring: Security Architect (weekly) | Next Review: 2026-09-28 | Owner: CEO

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R-CASH-001: Cash Flow Depletion

Risk: Operating costs (~€400/month) exceed revenue with no customers | Category: | Pentagon:

📊 Risk Metrics: Probability 4/5 | Impact 5/5 | Score: 320

💰 Financial: SLE €25K | ARO 0.8 | ALE €20K | VaR €30K (95% CI, 12mo)

🛡️ Controls: Monthly costs €395 per SUPPLIER.md | Financial monitoring per Business_Strategy.md | Cost optimization

📈 Treatment: Priority 1: Aggressive customer acquisition | Priority 2: Cost reduction | Priority 3: Alternative revenue streams

🤖 Monitoring: Business Dev Specialist (weekly financial analysis) | Next Review: 2026-09-28 | Owner: CEO

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R-CYBER-001: Security Breach

Risk: Compromise of development systems or IP theft | Category: | Pentagon:

📊 Risk Metrics: Probability 3/5 | Impact 4/5 | Score: 240

💰 Financial: SLE €15K | ARO 0.2 | ALE €3K | VaR €18K (95% CI, 12mo)

🛡️ Controls: C-SEC-001, C-SEC-002, C-SEC-003, C-MONITOR-001 | OpenSSF Scorecard | Open source code reduces IP theft value

📈 Treatment: Priority 1: Maintain security posture | Priority 2: Regular security assessment | Priority 3: Incident response planning

🤖 Monitoring: Security Architect (daily alerts, weekly scans) | Next Review: 2026-09-28 | Owner: CEO

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R-AI-LIABILITY-001: AI-Generated Content Liability

Risk: AI-generated content liability (code, policies, advice) - professional negligence, copyright, misinformation | Category: | Pentagon:

📊 Risk Metrics: Probability 3/5 | Impact 4/5 | Score: 240

💰 Financial: SLE €80K | ARO 0.2 | ALE €16K | VaR €120K (95% CI, 12mo) | EU AI Act: General Purpose AI, Limited Risk

🛡️ Controls: AI_Policy.md | Human review mandatory per OWASP_LLM_Security_Policy.md | Professional indemnity insurance (evaluating) | Disclaimers, version control, EU AI Act compliance

📈 Treatment: Priority 1: Secure AI liability insurance | Priority 2: AI output validation procedures | Priority 3: EU AI Act compliance

🤖 Monitoring: Security Architect (weekly AI governance) | Next Review: 2026-09-28 | Owner: CEO

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R-DISINFO-001: Information Integrity & Election Interference

Risk: Manipulation, poisoning, or weaponization of AI-generated political intelligence (coalition analysis, voting-pattern decoding, risk heat maps) published across Riksdagsmonitor and EU Parliament Monitor — heightened during the Swedish Election 2026 window — via source-data poisoning, SEO/backlink manipulation, deepfake attribution/impersonation, or coordinated misattribution undermining non-partisan credibility | Category: | Pentagon:

📊 Risk Metrics: Probability 3/5 | Impact 4/5 | Score: 240

💰 Financial: SLE €30K | ARO 0.3 | ALE €9K | VaR €45K (95% CI, 12mo)

🔒 CIA Impact: Confidentiality | Integrity | Availability

🛡️ Controls: C-SEC-004, C-AI-001 | Public-data-only architecture with equal treatment of all political groups (non-weaponization by design per Information_Security_Strategy.md) | Human-in-the-loop editorial review | Source provenance validation | DNSSEC + SPF/DKIM/DMARC | Threat_Modeling.md

📈 Treatment: Priority 1: Swedish Election 2026 information-integrity monitoring playbook | Priority 2: Source-feed integrity validation + anomaly detection | Priority 3: Public transparency/corrections process and backlink monitoring

🤖 Monitoring: Security Architect + ISMS Ninja (weekly; daily during election window) | Next Review: 2026-09-28 | Owner: CEO

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R-CREDIT-001: Client Payment Default

Risk: Client non-payment or payment delays affecting cash flow | Category: | Pentagon:

📊 Risk Metrics: Probability 3/5 | Impact 4/5 | Score: 240

💰 Financial: SLE €60K | ARO 0.3 | ALE €18K | VaR €90K (95% CI, 12mo)

🛡️ Controls: Payment terms 50% upfront per Business_Plan.md | Milestone invoicing | Credit checks >100K SEK | Escalation (30/60 days) | Legal consultation threshold 60 days/>50K SEK

📈 Treatment: Priority 1: Enforce upfront payment strictly | Priority 2: Factoring/invoice financing for large projects | Priority 3: Client diversification

🤖 Monitoring: Business Dev Specialist (weekly payment tracking) | Next Review: 2026-09-28 | Owner: CEO

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R-CONCENTRATION-001: Client Concentration Risk

• 📝 Description: Revenue concentration in 1-2 major clients creating dependency and vulnerability to client loss

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 4/5 (Likely - Solo founder likely to have 1-2 major clients initially)
  • Impact Score: 4/5 (High - Severe revenue impact if key client lost)
  • Total Risk Score: 320

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €600K (60% of annual revenue target lost)
  • Annual Rate of Occurrence (ARO): 0.2 (Client churn realistic in consulting)
  • Annual Loss Expectancy (ALE): €120K annually
  • Value at Risk (95% confidence): €800K over 12 months

• 📊 Business Impact Analysis:

  • Financial:
  • Operational:
  • Reputational:
  • Regulatory:

• 🎯 Strategic Impact:

  • Identified in Business Plan Risk Matrix as high priority
  • Directly affects business continuity and sustainability
  • Limits negotiating leverage and pricing power

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 1.8× multiplier (high priority - revenue diversification critical)
  • Strategic Rationale: Client concentration threatens business functionality through revenue volatility

• 🤖 Agent Monitoring:

  • Primary Agent: Business Development Specialist (weekly client concentration monitoring)
  • Monitoring Frequency: Weekly revenue distribution analysis and client relationship assessment
  • Last Agent Check: 2026-03-05
  • Next Scheduled Check: 2026-03-12

• 📊 Automated Evidence:

  • Business Strategy: Business_Strategy.md - Client diversification strategy
  • Business Plan: Business_Plan.md - Revenue concentration targets
  • ISMS Policy Review: Strategic risk control validation (quarterly assessment)

• 🛡️ Current Controls:

  • Active client diversification strategy per Business Strategy
  • Target: No client >40% of revenue by Q4 2026
  • Portfolio of 5 business lines reducing dependency
  • Strong client relationships and proactive communication
  • Continuous pipeline development

• 📈 Treatment Strategy:

  • Priority 1: Aggressive new client acquisition (target 5+ clients by Q4 2026)
  • Priority 2: Long-term contracts with staggered renewal dates
  • Priority 3: Product revenue diversification (Black Trigram, CIA Compliance Manager)

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: Business Development Specialist weekly concentration analysis | Monthly revenue concentration analysis, quarterly client relationship health checks (agent-tracked)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

---

🟡 Medium Risks (Score: 100-199)

R-MCP-001: AI Prompt Injection & Agentic Manipulation

Risk: Indirect prompt injection or tool/data poisoning (OWASP LLM01/LLM05/LLM08) via external parliamentary data ingested by the European Parliament MCP Server and agentic newsroom pipelines, manipulating AI-generated outputs, agent behavior, or causing sensitive-context disclosure (LLM02) | Category: | Pentagon:

📊 Risk Metrics: Probability 3/5 | Impact 3/5 | Score: 180

💰 Financial: SLE €10K | ARO 0.2 | ALE €2K | VaR €15K (95% CI, 12mo)

🛡️ Controls: C-AI-001 | OWASP_LLM_Security_Policy.md LLM01/LLM02/LLM05/LLM08 controls | Read-only public data sources | Output validation + mandatory human review | MCP least-privilege per AI_Policy.md | MCP server development security standards

📈 Treatment: Priority 1: Input/output guardrails on MCP and newsroom pipelines | Priority 2: Prompt-injection test cases in CI | Priority 3: Context isolation and source allow-listing

🤖 Monitoring: Security Architect (weekly) | Next Review: 2026-09-28 | Owner: CEO

---

R-SUPPLYCHAIN-001: Software Supply Chain Compromise

Risk: Compromise of build pipeline, third-party dependencies, or published artifacts (including the cia-compliance-manager npm library; 47 open non-critical Dependabot alerts across 9 repositories) leading to malicious code distribution to downstream consumers | Category: | Pentagon:

📊 Risk Metrics: Probability 2/5 | Impact 4/5 | Score: 160

💰 Financial: SLE €40K | ARO 0.15 | ALE €6K | VaR €60K (95% CI, 12mo)

🛡️ Controls: C-SUPPLY-001, C-SEC-003 | SLSA Level 3 provenance + signed SBOM (SPDX/CycloneDX) | npm package provenance | Dependabot + FOSSA + OpenSSF Scorecard | Pinned dependencies | Open_Source_Policy.md, Vulnerability_Management.md

📈 Treatment: Priority 1: Maintain SLSA Level 3 + signed releases | Priority 2: Triage 47 open Dependabot alerts (<30 target) | Priority 3: Dependency-review gates on all PRs

🤖 Monitoring: Security Architect + Code Quality Engineer (weekly) | Next Review: 2026-09-28 | Owner: CEO

---

R-DDOS-001: DDoS / Availability Attack on Public Platforms

Risk: Volumetric or application-layer DDoS targeting the public platform ecosystem (~19.6M requests/month across 6 domains, 5 CloudFront distributions), particularly politically-motivated attacks during the Swedish Election 2026 window | Category: | Pentagon:

📊 Risk Metrics: Probability 3/5 | Impact 2/5 | Score: 120

💰 Financial: SLE €5K | ARO 0.3 | ALE €1.5K | VaR €7.5K (95% CI, 12mo)

🛡️ Controls: C-SEC-004, C-SEC-001 | CloudFront edge caching + S3 static hosting (absorbs volumetric load) | AWS WAF rate-based rules | AWS Shield Standard | Route 53 health checks | Static architecture minimizes origin exposure

📈 Treatment: Priority 1: Tune WAF rate-based rules | Priority 2: Election-period capacity and monitoring readiness | Priority 3: Evaluate AWS Shield Advanced for the election window

🤖 Monitoring: Security Architect (weekly; daily during election window) | Next Review: 2026-09-28 | Owner: CEO

---

R-GDPR-001: GDPR Compliance Breach (Future Risk)

Risk: Future GDPR non-compliance when processing customer data (activates upon first customer) | Category: | Pentagon:

📊 Risk Metrics: Probability 1/5 | Impact 5/5 | Score: 100

💰 Financial: SLE €100K | ARO 0.01 (current), 0.05 (post-revenue) | ALE €1K (current), €5K (post-revenue) | VaR €10K (95% CI, 12mo)

🛡️ Controls: C-COMP-001 | Privacy_Policy.md | Data_Classification_Policy.md | Access_Control_Policy.md | DPO: CEO

📈 Treatment: Priority 1: Activate GDPR program upon first customer | Priority 2: DPIA before onboarding | Priority 3: Annual audit post-revenue

🤖 Monitoring: ISMS Ninja (weekly readiness, daily post-customer) | Activation: First customer (target Q1 2026) | Next Review: 2026-09-28 | Owner: CEO

---

R-SUPPLIER-001: Critical Supplier Failure

• 📝 Description: Major supplier (GitHub, SEB, AWS) service disruption

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 3/5 (Possible - Historical outages occur)
  • Impact Score: 3/5 (Moderate - Development delays, no customer impact)
  • Total Risk Score: 180

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €1K (Development time lost)
  • Annual Rate of Occurrence (ARO): 0.4 (Supplier outages periodic)
  • Annual Loss Expectancy (ALE): €400 annually
  • Value at Risk (95% confidence): €1.2K over 12 months

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 2.0× multiplier (highest priority - supplier security critical)
  • Strategic Rationale: Critical supplier failure impacts security posture and operational continuity

• 🤖 Agent Monitoring:

  • Primary Agent: Security Architect (bi-weekly supplier monitoring)
  • Monitoring Frequency: Bi-weekly supplier status and security posture review
  • Last Agent Check: 2026-03-05
  • Next Scheduled Check: 2026-03-19

• 📊 Automated Evidence:

  • Supplier Management: SUPPLIER.md - Supplier security posture tracking
  • ISMS Policy Review: Supplier risk control validation (quarterly assessment)

• 🛡️ Current Controls:

  • Supplier monitoring per Supplier Security Posture
  • Multiple suppliers for non-critical services
  • Local development environments as backup

• 📈 Treatment Strategy:

  • Priority 1: Maintain backup development capabilities
  • Priority 2: Document recovery procedures
  • Priority 3: Evaluate alternative suppliers

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: Security Architect bi-weekly supplier analysis | Weekly supplier status review (agent-tracked)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

---

R-IP-001: Intellectual Property Theft

• 📝 Description: Unauthorized use of open source code or proprietary elements

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 2/5 (Unlikely - Open source strategy reduces value)
  • Impact Score: 4/5 (High - Future competitive disadvantage)
  • Total Risk Score: 160

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €10K (Competitive advantage loss)
  • Annual Rate of Occurrence (ARO): 0.1 (Low due to open source approach)
  • Annual Loss Expectancy (ALE): €1K annually
  • Value at Risk (95% confidence): €5K over 12 months

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 1.5× multiplier (moderate priority - IP protection supporting quality)
  • Strategic Rationale: IP protection ensures code quality and competitive advantage

• 🤖 Agent Monitoring:

  • Primary Agent: Code Quality Engineer (bi-weekly IP monitoring)
  • Monitoring Frequency: Bi-weekly IP landscape and license compliance review
  • Last Agent Check: 2026-03-05
  • Next Scheduled Check: 2026-03-19

• 📊 Automated Evidence:

  • Open Source Policy: Open_Source_Policy.md - IP strategy validation
  • FOSSA: Automated license compliance scanning
  • ISMS Policy Review: IP control validation (quarterly assessment)

• 🛡️ Current Controls:

  • Open source IP strategy per Open Source Policy
  • Copyright notices and licensing
  • FOSSA compliance scanning

• 📈 Treatment Strategy:

  • Priority 1: Continue open source approach
  • Priority 2: Monitor for unauthorized use
  • Priority 3: Legal consultation if needed

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: Code Quality Engineer bi-weekly IP analysis | Quarterly IP landscape review (agent-tracked)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

---

R-PROCESS-001: Simplified Change Management Process

• 📝 Description: Self-approval bias in change management due to single-person operations. CEO may approve changes without sufficient critical analysis compared to multi-person Change Advisory Board (CAB).

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 2/5 (Unlikely - CEO expertise + temporal separation + automation)
  • Impact Score: 3/5 (Moderate - Potential for undetected errors in change decisions)
  • Total Risk Score: 120

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €2K (Change rollback + recovery effort + reputation impact)
  • Annual Rate of Occurrence (ARO): 0.2 (Low due to compensating controls)
  • Annual Loss Expectancy (ALE): €400 annually
  • Value at Risk (95% confidence): €1.2K over 12 months

• 📊 Business Impact Analysis:

  • Financial:
  • Operational:
  • Reputational:
  • Regulatory:

• 🛡️ Current Controls:

  • Temporal Separation: 48-hour mandatory reflection period for high-risk changes prevents impulsive decisions
  • Automated Security Gates: SAST, SCA, DAST, secret scanning prevent technical errors before deployment
  • Enhanced Documentation: Detailed change rationale enables retrospective review and audit
  • Quarterly Retrospective: CEO reviews all changes for patterns, errors, or improvement opportunities
  • External Audit: Annual validation of change management controls by external auditor

• 📈 Treatment Strategy:

  • Accept with Compensating Controls: Risk accepted due to operational sustainability of single-person company
  • Monitoring: Quarterly retrospective review tracks change success rate, rollback frequency, security incidents
  • Continuous Improvement: Process updates based on lessons learned from change outcomes

• 🎯 Risk Acceptance Rationale:

  • CEO technical expertise (15+ years cybersecurity, CISM/CISSP) provides strong decision-making foundation
  • Temporal separation provides reflection opportunity and prevents impulsive changes
  • Automated testing catches technical errors that manual review might miss
  • Quarterly retrospective enables pattern detection across all changes
  • Business velocity benefit outweighs marginal risk increase
  • Heavy multi-person CAB processes would be operationally unsustainable and create compliance theater

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 1.5× multiplier (moderate priority - process quality supporting excellence)
  • Strategic Rationale: Change management quality ensures reliable system evolution

• 🤖 Agent Monitoring:

  • Primary Agent: Code Quality Engineer (bi-weekly change process monitoring)
  • Monitoring Frequency: Bi-weekly change management effectiveness review
  • Last Agent Check: 2026-03-05
  • Next Scheduled Check: 2026-03-19

• 📊 Automated Evidence:

  • Change Management: Change_Management.md - Process validation and single-person adaptation
  • ISMS Policy Review: Change control validation (quarterly assessment)

• 🔗 Related Policy: Change_Management.md - Single-Person Company Adaptation section

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: Code Quality Engineer bi-weekly change process analysis | Quarterly change management retrospective, external audit validation (agent-coordinated)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

---

R-INCIDENT-001: Single-Person Incident Response

• 📝 Description: Delayed response or inadequate expertise in complex security incidents due to single-person operations. CEO may be unavailable, overwhelmed, or lack specialized skills compared to dedicated Incident Response Team (IRT).

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 3/5 (Possible - CEO highly available but single point of failure)
  • Impact Score: 3/5 (Moderate - Potential for extended incident duration or incomplete remediation)
  • Total Risk Score: 180

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €3K (Extended downtime + forensics + recovery + reputation)
  • Annual Rate of Occurrence (ARO): 0.3 (Moderate likelihood for cybersecurity company)
  • Annual Loss Expectancy (ALE): €900 annually
  • Value at Risk (95% confidence): €2.7K over 12 months

• 📊 Business Impact Analysis:

  • Financial: (No customers yet, limited revenue impact)
  • Operational:
  • Reputational: (Cybersecurity company must demonstrate strong response)
  • Regulatory:

• 🛡️ Current Controls:

  • Automated 24/7 Detection: AWS GuardDuty + Security Hub provide continuous threat monitoring
  • ML-Powered Investigation: AWS Detective automates timeline reconstruction and root cause analysis
  • Pre-Written Runbooks: Documented response procedures for common incident types (AWS compromise, GitHub breach, supplier failure)
  • External Consultant Network: Pre-arranged relationships with IR firms (<4hr response), AWS Enterprise Support (<15min), legal counsel
  • Clear Escalation Criteria: Documented triggers for external engagement (>4hr duration, specialized expertise needed, CEO unavailability)

• 📈 Treatment Strategy:

  • Accept with Compensating Controls: Risk accepted as cost of dedicated security team would be disproportionate to current risk exposure
  • External Expert Engagement: Pre-arranged incident response consultant relationships for complex incidents
  • Continuous Monitoring: Track MTTD (Mean Time to Detection), MTTR (Mean Time to Resolution), external consultant engagement frequency

• 🎯 Risk Acceptance Rationale:

  • CEO cybersecurity expertise (CISM/CISSP, 15+ years) covers most incident types effectively
  • AWS automated tools (GuardDuty, Detective, Security Hub) compensate for single-person limitations
  • External consultant relationships provide specialized expertise on-demand when needed
  • Pre-written runbooks accelerate response without requiring team consultation
  • Incident complexity for current Hack23 scope (no customers, limited infrastructure) is manageable
  • Cost-benefit analysis: Maintaining dedicated security team = €150K+/year vs risk exposure <€3K/incident

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 2.0× multiplier (highest priority - incident response capability critical)
  • Strategic Rationale: Effective incident response directly impacts security posture and recovery capability

• 🤖 Agent Monitoring:

  • Primary Agent: Security Architect (bi-weekly incident response readiness monitoring)
  • Monitoring Frequency: Bi-weekly incident response capability and plan review
  • Last Agent Check: 2026-03-05
  • Next Scheduled Check: 2026-03-19

• 📊 Automated Evidence:

  • Incident Response Plan: Incident_Response_Plan.md - Response procedures and single-person adaptation
  • ISMS Policy Review: Incident response control validation (quarterly assessment)

• 🔗 Related Policy: Incident_Response_Plan.md - Single-Person Company Adaptation section

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: Security Architect bi-weekly incident readiness analysis | Monthly KPI review (MTTD, MTTR), quarterly incident analysis, annual tabletop exercise (agent-coordinated)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

---

R-LEGAL-001: Contract Disputes/Enforcement

• 📝 Description: Legal disputes arising from contract terms, unclear scope, or unenforceable clauses

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 3/5 (Possible - Startup without dedicated legal team, using templates)
  • Impact Score: 3/5 (Moderate - Legal costs manageable, but disruptive)
  • Total Risk Score: 180

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €30K (Legal defense + settlement)
  • Annual Rate of Occurrence (ARO): 0.2 (Disputes possible in consulting)
  • Annual Loss Expectancy (ALE): €6K annually
  • Value at Risk (95% confidence): €45K over 12 months

• 📊 Business Impact Analysis:

  • Financial:
  • Operational:
  • Reputational:
  • Regulatory:

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 1.5× multiplier (moderate priority - contract quality supporting business operations)
  • Strategic Rationale: Contract quality ensures clear business relationships and dispute prevention

• 🤖 Agent Monitoring:

  • Primary Agent: Business Development Specialist (monthly contract review)
  • Monitoring Frequency: Monthly contract quality and compliance review
  • Last Agent Check: 2026-03-05
  • Next Scheduled Check: 2026-04-05

• 📊 Automated Evidence:

  • Business Plan: Business_Plan.md - Contract templates and legal budget
  • ISMS Policy Review: Contract management control validation (quarterly assessment)

• 🛡️ Current Controls:

  • Standard contract templates per Business Plan
  • Budget allocated (5K SEK) for legal review
  • Clear scope documentation practices
  • Change order procedures
  • Företagarna/Almega template usage

• 📈 Treatment Strategy:

  • Priority 1: Legal review of contract templates (budgeted 5K SEK)
  • Priority 2: Detailed SOW templates with clear acceptance criteria
  • Priority 3: Insurance coverage evaluation

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: Business Dev Specialist monthly contract analysis | Quarterly contract review, legal consultation as needed (agent-tracked)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

---

R-PROF-LIABILITY-001: Professional Indemnity Claims

• 📝 Description: Professional liability claims arising from consulting advice or implementation errors

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 2/5 (Unlikely - Experienced consultant, but consulting inherently risky)
  • Impact Score: 4/5 (High - Defense costs, settlements, reputation damage)
  • Total Risk Score: 160

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €150K (Legal defense + settlement + reputation recovery)
  • Annual Rate of Occurrence (ARO): 0.05 (Low with experience and controls)
  • Annual Loss Expectancy (ALE): €7.5K annually
  • Value at Risk (95% confidence): €180K over 12 months

• 📊 Business Impact Analysis:

  • Financial:
  • Operational:
  • Reputational:
  • Regulatory:

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 1.5× multiplier (moderate priority - professional quality critical for reputation)
  • Strategic Rationale: Professional indemnity management ensures service quality and client trust

• 🤖 Agent Monitoring:

  • Primary Agent: Business Development Specialist (monthly professional standards monitoring)
  • Monitoring Frequency: Monthly professional liability and insurance status review
  • Last Agent Check: 2026-03-05
  • Next Scheduled Check: 2026-04-05

• 📊 Automated Evidence:

  • Information Security Policy: Information_Security_Policy.md - Professional standards adherence
  • ISMS Policy Review: Professional liability control validation (quarterly assessment)

• 🛡️ Current Controls:

  • 30+ years professional experience
  • Comprehensive ISMS implementation demonstrating expertise
  • Professional standards adherence per Information Security Policy
  • Documented methodologies and best practices
  • Clear limitation of liability clauses in contracts
  • Professional indemnity insurance under evaluation

• 📈 Treatment Strategy:

  • Priority 1: Secure professional indemnity insurance (target: Q1 2026)
  • Priority 2: Peer review for high-risk recommendations
  • Priority 3: Comprehensive engagement documentation

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: Business Dev Specialist monthly professional standards analysis | Quarterly insurance coverage review, annual policy renewal (agent-tracked)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

---

R-TAX-001: Tax Compliance Failures

• 📝 Description: Errors in VAT, payroll tax, or corporate tax filings leading to penalties and interest

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 2/5 (Unlikely - External accountant support, but complexity exists)
  • Impact Score: 3/5 (Moderate - Penalties and interest, not business-ending)
  • Total Risk Score: 120

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €20K (Penalties + interest + correction costs)
  • Annual Rate of Occurrence (ARO): 0.15 (Tax errors possible despite support)
  • Annual Loss Expectancy (ALE): €3K annually
  • Value at Risk (95% confidence): €30K over 12 months

• 📊 Business Impact Analysis:

  • Financial:
  • Operational:
  • Reputational:
  • Regulatory:

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 2.0× multiplier (highest priority - tax compliance critical ISMS control)
  • Strategic Rationale: Tax compliance ensures regulatory adherence and organizational sustainability

• 🤖 Agent Monitoring:

  • Primary Agent: ISMS Ninja (monthly tax compliance monitoring)
  • Monitoring Frequency: Monthly tax compliance and filing status review
  • Last Agent Check: 2026-03-05
  • Next Scheduled Check: 2026-04-05

• 📊 Automated Evidence:

  • Accounting System: Fortnox digital accounting and tax tracking
  • ISMS Policy Review: Tax compliance control validation (quarterly assessment)

• 🛡️ Current Controls:

  • External accountant/bookkeeper engaged
  • Quarterly tax review meetings
  • Skatteverket guidance consultation
  • Digital accounting system (Fortnox)
  • Regular reconciliation processes

• 📈 Treatment Strategy:

  • Priority 1: Maintain quarterly accountant reviews
  • Priority 2: Skatteverket proactive guidance requests
  • Priority 3: Tax compliance training/updates

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: ISMS Ninja monthly tax compliance analysis | Quarterly tax compliance review, annual external audit (agent-tracked)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

---

🟢 Low Risks (Score: 50-99)

R-COMP-001: Competitive Market Entry

• 📝 Description: New competitors entering targeted market segments

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 4/5 (High - Open markets attract competition)
  • Impact Score: 2/5 (Low - No customers to lose yet)
  • Total Risk Score: 80

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €2K (Increased marketing costs)
  • Annual Rate of Occurrence (ARO): 0.5 (Competition likely)
  • Annual Loss Expectancy (ALE): €1K annually
  • Value at Risk (95% confidence): €3K over 12 months

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 1.3× multiplier (standard priority - competitive analysis supporting market validation)
  • Strategic Rationale: Competitive monitoring ensures market positioning and quality assurance

• 🤖 Agent Monitoring:

  • Primary Agent: Test Specialist (monthly competitive analysis)
  • Monitoring Frequency: Monthly competitive landscape and market position review
  • Last Agent Check: 2026-03-05
  • Next Scheduled Check: 2026-04-05

• 📊 Automated Evidence:

  • Marketing Strategy: Marketing_Strategy.md - Unique positioning validation
  • ISMS Policy Review: Competitive analysis control validation (quarterly assessment)

• 🛡️ Current Controls:

  • Unique positioning per Marketing Strategy
  • Open source differentiation
  • Cultural authenticity (Black Trigram)

• 📈 Treatment Strategy:

  • Priority 1: Focus on unique differentiators
  • Priority 2: Build community early
  • Priority 3: Monitor competitive landscape

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: Test Specialist monthly competitive analysis | Monthly competitive landscape review (agent-tracked)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

---

R-TECH-001: Technology Obsolescence

• 📝 Description: Current technology stack becoming outdated

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 3/5 (Possible - Technology evolution)
  • Impact Score: 2/5 (Low - Can be gradually updated)
  • Total Risk Score: 60

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €3K (Modernization effort)
  • Annual Rate of Occurrence (ARO): 0.2 (Gradual evolution)
  • Annual Loss Expectancy (ALE): €600 annually
  • Value at Risk (95% confidence): €1.8K over 12 months

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 1.5× multiplier (moderate priority - technology quality supporting long-term excellence)
  • Strategic Rationale: Technology currency ensures code quality and maintainability

• 🤖 Agent Monitoring:

  • Primary Agent: Code Quality Engineer (bi-weekly technology stack monitoring)
  • Monitoring Frequency: Bi-weekly technology stack and dependency review
  • Last Agent Check: 2026-03-05
  • Next Scheduled Check: 2026-03-19

• 📊 Automated Evidence:

  • Asset Register: Asset_Register.md - Modern AWS stack validation
  • Dependabot: Automated dependency updates and security patches
  • ISMS Policy Review: Technology stack control validation (quarterly assessment)

• 🛡️ Current Controls:

  • Modern AWS stack per Asset Register
  • Regular technology reviews
  • Cloud-native architecture

• 📈 Treatment Strategy:

  • Priority 1: Stay current with major updates
  • Priority 2: Plan gradual migrations
  • Priority 3: Avoid cutting-edge technologies

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: Code Quality Engineer bi-weekly technology analysis | Quarterly technology assessment (agent-tracked)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

---

R-ACCESS-001: Single-Person Access Administration

• 📝 Description: Self-review bias and excessive permissions in access administration due to single-person operations. CEO acts as access provisioner, reviewer, and primary user without independent validation.

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 2/5 (Unlikely - Automated IAM Access Analyzer provides independent machine validation)
  • Impact Score: 2/5 (Low - Limited users, no customer data access risks currently)
  • Total Risk Score: 80

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €1.5K (Unauthorized access incident + remediation + reputation)
  • Annual Rate of Occurrence (ARO): 0.15 (Low due to automated monitoring)
  • Annual Loss Expectancy (ALE): €225 annually
  • Value at Risk (95% confidence): €675 over 12 months

• 📊 Business Impact Analysis:

  • Financial:
  • Operational:
  • Reputational:
  • Regulatory:

• 🛡️ Current Controls:

  • AWS IAM Access Analyzer: Continuous automated analysis of access permissions, unused access detection, external access monitoring
  • Quarterly CEO Self-Review: Systematic review using IAM Access Analyzer findings dashboard
  • External Annual Audit: Independent auditor validates access control effectiveness and least privilege compliance
  • Complete Audit Trail: AWS CloudTrail + GitHub Audit Log provide tamper-evident access change history
  • Automated Alerts: Real-time notifications for suspicious access patterns, policy changes, external sharing

• 📈 Treatment Strategy:

  • Accept with Automated Compensating Controls: Risk accepted due to automated tool superiority over manual review
  • Continuous Monitoring: AWS IAM Access Analyzer provides real-time analysis exceeding quarterly human review
  • External Validation: Annual auditor review provides independent human oversight

• 🎯 Risk Acceptance Rationale:

  • Automated superiority: AWS IAM Access Analyzer continuous monitoring exceeds quarterly human review effectiveness
  • Machine independence: Automated tool provides independent validation without human bias
  • Limited scope: Single-user environment (CEO only) has minimal access control complexity
  • External validation: Annual auditor review provides independent human oversight
  • Complete audit trail: CloudTrail + GitHub logs enable retrospective forensic review
  • Cost-benefit: Dedicated security team (€80K+/year) disproportionate to risk for single-person company

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 2.0× multiplier (highest priority - access control critical ISMS requirement)
  • Strategic Rationale: Access administration ensures least privilege and security posture integrity

• 🤖 Agent Monitoring:

  • Primary Agent: ISMS Ninja (weekly access control monitoring)
  • Monitoring Frequency: Weekly IAM Access Analyzer findings review and access validation
  • Last Agent Check: 2026-03-05
  • Next Scheduled Check: 2026-03-12

• 📊 Automated Evidence:

  • Access Control Policy: Access_Control_Policy.md - Single-person adaptation and automated controls
  • AWS IAM Access Analyzer: Real-time permission analysis and compliance validation
  • ISMS Policy Review: Access control validation (quarterly assessment)

• 🔗 Related Policy: Access_Control_Policy.md - Single-Person Company Adaptation section

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: ISMS Ninja weekly access control analysis | Real-time IAM Access Analyzer findings, quarterly CEO review, annual external audit (agent-coordinated)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

---

R-AGENT-001: Misconfigured Curator-Agent Permissions

• 📝 Description: Curator-agent misconfiguration could widen agent permissions or bypass security checks, allowing agents to modify security controls or access sensitive data inappropriately.

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 2/5 (Unlikely - CEO approval + automated validation gates)
  • Impact Score: 2/5 (Low - Limited scope, PR review, CI gates prevent deployment)
  • Total Risk Score: 80

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €2K (Incident response + configuration remediation + audit)
  • Annual Rate of Occurrence (ARO): 0.10 (Unlikely due to multiple control layers)
  • Annual Loss Expectancy (ALE): €200 annually
  • Value at Risk (95% confidence): €600 over 12 months

• 📊 Business Impact Analysis:

  • Financial:
  • Operational:
  • Reputational:
  • Regulatory:

• 🛡️ Current Controls:

  • CEO Approval Requirement: All curator-agent changes require CEO or security owner review and approval via PR
  • Automated YAML Validation: CI checks validate agent configuration syntax and structure
  • Security Pattern Detection: Automated scanning forbids overly permissive patterns (e.g., tools: ["*"])
  • PR Review Workflow: All agent configuration changes subject to pull request review before merge
  • Change Control Integration: Agent configs treated as configuration items per Change Management

• 📈 Treatment Strategy:

  • Mitigate via Layered Controls: Multiple control layers reduce probability and impact
  • Continuous Monitoring: Quarterly agent ecosystem review per .github/agents/README.md maintenance schedule
  • Policy Alignment Validation: Agent profiles verified to load ISMS-PUBLIC context

• 🎯 Risk Acceptance Rationale:

  • Multiple control layers: CEO approval + automated validation + PR review + CI gates
  • Limited scope: Agents generate proposals, not authoritative changes; CI/CD gates enforce security
  • Audit trail: Complete git history and PR review records enable forensic analysis
  • Quarterly review: Regular ecosystem assessment identifies configuration drift

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 2.0× multiplier (highest priority - AI agent governance critical ISMS control)
  • Strategic Rationale: Curator-agent permission management ensures AI governance and security posture

• 🤖 Agent Monitoring:

  • Primary Agent: ISMS Ninja (weekly agent configuration monitoring)
  • Monitoring Frequency: Weekly agent permission and configuration validation
  • Last Agent Check: 2026-03-05
  • Next Scheduled Check: 2026-03-12

• 📊 Automated Evidence:

  • AI Policy: AI_Policy.md - AI agent ecosystem and curator governance
  • CI Validation: Automated YAML and security pattern validation
  • ISMS Policy Review: AI governance control validation (quarterly assessment)

• 🔗 Related Policy: AI_Policy.md - AI Agent Ecosystem & Curator Governance section

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: ISMS Ninja weekly agent configuration analysis | Automated CI validation, CEO approval tracking, quarterly agent review, PR metrics (agent-coordinated)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

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R-AGENT-002: AI-Generated Policy Contradictions

• 📝 Description: Agents could generate policies, procedures, or configurations that contradict ISMS requirements or introduce security gaps, creating compliance violations or weakening security posture.

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 2/5 (Unlikely - Human review + ISMS as authoritative)
  • Impact Score: 3/5 (Moderate - Could introduce compliance gaps if undetected)
  • Total Risk Score: 120

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €3K (Compliance remediation + audit findings + policy correction)
  • Annual Rate of Occurrence (ARO): 0.15 (Unlikely due to human review gates)
  • Annual Loss Expectancy (ALE): €450 annually
  • Value at Risk (95% confidence): €1.35K over 12 months

• 📊 Business Impact Analysis:

  • Financial:
  • Operational:
  • Reputational:
  • Regulatory:

• 🛡️ Current Controls:

  • ISMS Authoritative Principle: Policy clearly states ISMS documents are authoritative; agents draft only
  • CEO Review Requirement: All policy file changes require CEO review and explicit approval
  • Version Control: Explicit versioning and approval workflows for all ISMS documents
  • Agent Context Loading: Agents required to load ISMS-PUBLIC as mandatory context before generating proposals
  • PR-Based Workflow: All agent outputs subject to human review before merge

• 📈 Treatment Strategy:

  • Mitigate via Human Oversight: Human review as final gate for all policy changes
  • ISMS as Single Source of Truth: Clear hierarchy with ISMS documents authoritative over agent outputs
  • Continuous Validation: Quarterly compliance checklist verification per Compliance_Checklist.md

• 🎯 Risk Acceptance Rationale:

  • Human final authority: CEO reviews all policy changes; agents cannot bypass approval
  • Clear hierarchy: ISMS explicitly defined as authoritative over agent proposals
  • PR workflow: Standard pull request review catches contradictions before merge
  • Agent training: Agents explicitly instructed to load ISMS context and follow established policies

• 🔗 Related Policy: AI_Policy.md - AI Agent Ecosystem & Curator Governance section, Change_Management.md - AI Agent Configuration Governance

• 🔍 Monitoring: Policy change review, quarterly compliance validation, agent output quality assessment

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

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⚪ Minimal Risks (Score: 1-49)

R-PHYS-001: Physical Security

• 📝 Description: Physical access to home office or equipment theft

• 🎯 Risk Category:

• 📈 Quantitative Risk Assessment:

  • Probability Score: 2/5 (Unlikely - Home office, encrypted devices)
  • Impact Score: 1/5 (Minimal - Cloud-based operations)
  • Total Risk Score: 20

• 💰 Financial Risk Analysis:

  • Single Loss Expectancy (SLE): €2K (Equipment replacement)
  • Annual Rate of Occurrence (ARO): 0.05 (Very unlikely)
  • Annual Loss Expectancy (ALE): €100 annually
  • Value at Risk (95% confidence): €300 over 12 months

• 🏆 Pentagon Dimension:

  • Pentagon Priority: 2.0× multiplier (highest priority - physical security supporting overall security posture)
  • Strategic Rationale: Physical security ensures equipment and data protection

• 🤖 Agent Monitoring:

  • Primary Agent: Security Architect (quarterly physical security monitoring)
  • Monitoring Frequency: Quarterly physical security and equipment status review
  • Last Agent Check: 2026-06-28
  • Next Scheduled Check: 2026-09-28

• 📊 Automated Evidence:

  • Device Encryption: Full disk encryption status validation
  • Backup Status: Cloud backup verification
  • ISMS Policy Review: Physical security control validation (annual assessment)

• 🛡️ Current Controls:

  • Full disk encryption
  • Cloud-native operations
  • Regular backups

• 📈 Treatment Strategy:

  • Priority 1: Maintain current controls
  • Priority 2: Ensure insurance coverage
  • Priority 3: Remote wipe capabilities

• 🔍 Monitoring: Agent-Driven Continuous Monitoring: Security Architect quarterly physical security analysis | Annual security review (agent-tracked)

• 👤 Risk Owner: CEO

• 📅 Next Review: 2026-09-28

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🎯 Risk Treatment Summary

📊 Treatment Strategy Distribution

%%{init: {'theme': 'base', 'themeVariables': {'pie1': '#D32F2F', 'pie2': '#4CAF50', 'pie3': '#2196F3', 'pie4': '#FF9800'}}}%%
pie title Risk Treatment Strategies
    "Mitigate (69%)" : 18
    "Accept w/Controls (27%)" : 7
    "Transfer (4%)" : 1
    "Avoid (0%)" : 0

🎯 Risk Treatment Actions Status

Priority	Total	Completed	In Progress	Planning	Overdue
Critical	2	0	2	0	0
High	7	1	5	1	0
Medium	12	2	8	2	0
Low	4	2	2	0	0
Minimal	1	1	0	0	0
TOTAL	26	6	17	3	0

📈 Risk Treatment Effectiveness Metrics

Metric	Current	Target	Status
On-time Completion Rate	94%	>95%	⚠️
Budget Adherence	87%	>90%	⚠️
Risk Reduction Achieved	78%	>80%	⚠️
Control Implementation	85%	>90%	⚠️

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🔄 Risk Monitoring & Review

📅 Review Schedule

Review Type	Frequency	Next Due	Participants
Executive Risk Review	Monthly	2026-07-28	CEO
Quarterly Risk Assessment	Quarterly	2026-09-28	CEO
Annual Risk Strategy	Annual	2027-06-28	CEO
Incident-Based Review	As needed	N/A	CEO

📊 Key Risk Indicators (KRIs)

KRI	Current	Threshold	Trend	Status
AWS Outage Frequency	0.8/month	>1/month	→	✅
Security Incident Count	0	>3/quarter	→	✅
Supplier Dependency Ratio	85%	>90%	↓	✅
Cash Flow Ratio	3.2 months	<2 months	↑	✅
Backup Success Rate	99.8%	<98%	→	✅
Compliance Score	94%	<90%	↑	✅

🎯 Risk Appetite Statement

Hack23 AB maintains a conservative-to-moderate risk appetite:

• Critical Risks: Zero tolerance - immediate action required
• High Risks: Low tolerance - senior management oversight required
• Medium Risks: Moderate tolerance - active management with defined controls
• Low Risks: Higher tolerance - standard controls with monitoring
• Minimal Risks: Accept with periodic review

Total Risk Portfolio Target: ≤18 active risks with average score <150

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📈 AI Model Evolution — Risk Perspective (2026–2037)

Assumptions: AI model upgrades occur multiple times per year (2026 observed: Opus 4.6→4.7→4.8, Sonnet 4.6, plus the new Mythos and Fable 5 model families — seven releases February–June, with further Opus 4.9/4.x and model-family updates expected in H2 2026); competitors (OpenAI, Google, Meta, EU sovereign AI) evaluated at each release. Architecture accommodates potential paradigm shifts (quantum AI, neuromorphic computing). Full cross-perspective analysis in Information Security Strategy § AI Model Evolution Strategy.

⚠️ AI Evolution Risk Impact Matrix

Risk Category	2026–2027 Exposure	2028–2030 Exposure	2031–2037 Exposure	Treatment Strategy
AI Model Vendor Lock-in	Medium — Single primary provider dependency	High — Deeper integration increases switching cost	Critical — AGI-era dependencies may be irreversible	Model-agnostic architecture, annual competitor evaluation per AI Policy
AI-Powered Threat Escalation	Medium — AI-enhanced phishing, automated attacks	High — AI-generated zero-days, deepfake social engineering	Very High — AGI-enabled autonomous attacks	Progressive security control evolution, AI defense matching attack sophistication
AI Governance & Regulatory	Medium — EU AI Act compliance gap risk	High — Expanding global AI regulation complexity	Very High — Pre-AGI/AGI regulatory uncertainty	Continuous compliance monitoring, regulatory horizon scanning
AI Model Accuracy/Hallucination	Medium — Incorrect code suggestions, false security findings	Medium — Model improvements begin reducing errors	Low — Near-expert accuracy in most domains	Human oversight requirement, output validation per AI Policy
AI Paradigm Disruption	Low — Current architecture handles incremental upgrades	Medium — Quantum AI may obsolete current approaches	High — Neuromorphic/AGI may require fundamental architecture redesign	Annual architecture review, paradigm shift readiness assessment
AI Competitive Advantage Erosion	Low — Early adopter advantage maintained	Medium — Competitors catch up as AI democratizes	High — AI levels playing field, differentiation shifts to data/process	Continuous innovation, proprietary workflow/data advantage building

📊 Risk Treatment Evolution Through AI Advancement

Current Risk	AI Impact on Treatment	Projected Score Change
R-FOUNDER-001 (Single-person dependency, Score: 480)	AI agents progressively automate critical functions, reducing human dependency	480 → 300 (2027) → 200 (2030) → 120 (2033)
R-MARKET-001 (Large competitor entry, Score: 400)	AI enables enterprise-grade delivery from sole proprietor, maintaining differentiation	400 → 320 (2027) → 250 (2030) as AI amplifies capabilities
R-CASH-001 (Cash flow, Score: 320)	AI-driven revenue acceleration across all 5 business lines	320 → 220 (2027) → 130 (2030) with scaling revenue
R-CYBER-001 (Security incident, Score: 240)	AI-enhanced threat detection and automated response reduces incident probability	240 → 180 (2027) → 120 (2030) with autonomous security operations

Governance: AI risk assessment integrated into quarterly review cycle. Annual AI model evaluation cadence per AI Policy § AI Model Evolution Evaluation Framework.

📋 Methodology Note: Projected risk score reductions assume successful AI model evolution per the AI Policy evaluation framework, with scores recalculated using the standard Likelihood × Impact matrix in Risk Assessment Methodology. Actual scores will be validated through quarterly risk reviews. New AI-specific risks (vendor lock-in, model availability, paradigm disruption) are tracked separately in the AI Evolution Risk Impact Matrix above.

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📚 Related Documents

🎯 Strategic & Governance

• 🎯 Information Security Strategy - Pentagon of Continuous Improvement framework, AI-first operations, and strategic roadmap
• 🔐 Information Security Policy - Security governance, AI-First Operations Governance, and risk management framework
• 🏷️ Classification Framework - Impact level definitions and business analysis matrix
• 📊 Risk Assessment Methodology - Quantitative assessment framework

💻 Asset & Supplier Management

• 💻 Asset Register - Asset-based risk assessment and inventory
• 🔗 Supplier Security Posture - Third-party risk management and SLA tracking
• 🤝 Third Party Management - Supplier governance framework
• 🤝 Partnership Framework - Strategic partner risk mitigation

🔄 Business Continuity & Response

• 🔄 Business Continuity Plan - Risk response and continuity procedures
• 🆘 Disaster Recovery Plan - Technical recovery procedures
• 🚨 Incident Response Plan - Risk event management and escalation
• 💾 Backup Recovery Policy - Data protection and recovery

📊 Metrics & Compliance

• 📊 Security Metrics - Risk-related KPI tracking
• 📈 ISMS Metrics Dashboard - Policy health and review tracking
• ✅ Compliance Checklist - Regulatory compliance status
• 🤖 AI Policy - AI agent risk governance

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📋 Document Control:
✅ Approved by: James Pether Sörling, CEO
📤 Distribution: CEO, External Risk Advisor, Insurance Company
🏷️ Classification:
📅 Effective Date: 2026-06-28
⏰ Next Review: 2026-09-28
🎯 Framework Compliance: