Systematic Risk Management Through Comprehensive Assessment
Enterprise-grade Risk Framework Demonstrating Cybersecurity Excellence
📋 Document Owner: CEO | 📄 Version: 3.8 | 📅 Last Updated: 2026-03-05 (UTC)
🔄 Review Cycle: Quarterly | ⏰ Next Review: 2026-06-05
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
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.
Next Review: 2026-06-05
| Risk Portfolio Overview | Value | Trend | Target |
|---|---|---|---|
| Total Active Risks | 22 | ↑ | 18 |
| Critical Risks | 2 | → | 1 |
| High Risks | 6 | → | 4 |
| Medium Risks | 9 | ↑ | 6 |
| Low Risks | 4 | ↑ | 4 |
| Minimal Risks | 1 | → | 0 |
| Average Risk Score | 187 | ↑ | <150 |
| Total ALE | €240K | ↑ | <€100K |
%%{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)"]
end
subgraph "3 - Moderate"
B3["R-SUPPLIER-001<br/>(180)<br/>R-INCIDENT-001<br/>(180)<br/>R-LEGAL-001<br/>(180)"]
C3["R-IP-001<br/>(160)<br/>R-PROF-LIABILITY-001<br/>(160)<br/>R-PROCESS-001<br/>(120)<br/>R-AGENT-002<br/>(120)<br/>R-TAX-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
Risk portfolio organized by Pentagon of Continuous Improvement dimensions:
| Pentagon Dimension | Risk Count | Example Risks | Avg Score | Priority Multiplier |
|---|---|---|---|---|
| 🔒 Security | 6 | R-CYBER-001, R-AWS-001, R-AI-LIABILITY-001, R-SUPPLIER-001, R-INCIDENT-001, R-PHYS-001 | 183 | 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
Automated risk monitoring through curated agent ecosystem:
| Metric | Current Status | Target | Status |
|---|---|---|---|
| Total Risks Monitored | 22/22 (100%) | 100% | ✅ Complete |
| Continuous Monitoring (Weekly) | 8 Critical/High risks | All Critical/High | ✅ Achieved |
| Periodic Monitoring (Bi-weekly/Monthly) | 14 Medium/Low/Minimal risks | All Medium/Low | ✅ Achieved |
| Automated Evidence Links | 18/22 (82%) | >80% | ✅ Achieved |
| Agent Triage Accuracy | 94% (validated vs human) | >85% | ✅ Exceeded |
| Pentagon Coverage | 22/22 (100%) | 100% | ✅ Complete |
Agent Assignments by Risk Level:
- Critical Risks (2): ISMS Ninja + Security Architect + Business Dev Specialist (weekly)
- High Risks (6): Specialist agents per Pentagon dimension (weekly)
- Medium Risks (9): 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
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
Hack23 AB's curated agent ecosystem (per Information Security Strategy) provides continuous risk monitoring aligned with the Pentagon of Continuous Improvement framework.
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
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%)
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
All risks assessed using our Risk Assessment Methodology with quantitative scoring adjusted for current business scale and context.
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 |
| Treatment Strategy | Risk Count | Risk IDs | Implementation Status |
|---|---|---|---|
| Mitigate with Controls | 22 | 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 | 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 |
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) |
| Integrity | R-FOUNDER-001 (Critical), R-CYBER-001 (High), R-GDPR-001 (High) | R-AWS-001 (Moderate), R-AGENT-002 (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-TECH-001 (Low), R-PHYS-001 (Best Effort) |
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: 2026-02-14 | Owner: CEO
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: 2026-02-14 | Owner: CEO
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: 2026-02-27 | Owner: CEO
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: 2026-02-14 | Owner: CEO
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: 2026-02-27 | Owner: CEO
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: 2026-02-27 | Owner: CEO
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: 2026-02-27 | Owner: CEO
-
📝 Description: Revenue concentration in 1-2 major clients creating dependency and vulnerability to client loss
-
📈 Quantitative Risk Assessment:
-
💰 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:
-
🎯 Strategic Impact:
- Identified in Business Plan Risk Matrix as high priority
- Directly affects business continuity and sustainability
- Limits negotiating leverage and pricing power
-
- 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 4 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: 2026-02-27
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: 2026-02-27 | Owner: CEO
-
📝 Description: Major supplier (GitHub, SEB, AWS) service disruption
-
📈 Quantitative Risk Assessment:
-
💰 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 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: 2026-02-14
-
📝 Description: Unauthorized use of open source code or proprietary elements
-
📈 Quantitative Risk Assessment:
-
💰 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 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: 2026-02-14
-
📝 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).
-
📈 Quantitative Risk Assessment:
-
💰 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:
-
🛡️ 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 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: 2026-02-24
-
📝 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).
-
📈 Quantitative Risk Assessment:
-
💰 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:
-
🛡️ 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 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: 2026-02-24
-
📝 Description: Legal disputes arising from contract terms, unclear scope, or unenforceable clauses
-
📈 Quantitative Risk Assessment:
-
💰 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:
-
- 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: 2026-02-27
-
📝 Description: Professional liability claims arising from consulting advice or implementation errors
-
📈 Quantitative Risk Assessment:
-
💰 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:
-
- 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: 2026-02-27
-
📝 Description: Errors in VAT, payroll tax, or corporate tax filings leading to penalties and interest
-
📈 Quantitative Risk Assessment:
-
💰 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:
-
- 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: 2026-02-27
-
📝 Description: New competitors entering targeted market segments
-
📈 Quantitative Risk Assessment:
-
💰 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 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: 2026-02-14
-
📝 Description: Current technology stack becoming outdated
-
📈 Quantitative Risk Assessment:
-
💰 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 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: 2026-02-14
-
📝 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.
-
📈 Quantitative Risk Assessment:
-
💰 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:
-
🛡️ 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 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: 2026-02-24
-
📝 Description: Curator-agent misconfiguration could widen agent permissions or bypass security checks, allowing agents to modify security controls or access sensitive data inappropriately.
-
📈 Quantitative Risk Assessment:
-
💰 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:
-
🛡️ 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.mdmaintenance 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 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: 2026-02-24
-
📝 Description: Agents could generate policies, procedures, or configurations that contradict ISMS requirements or introduce security gaps, creating compliance violations or weakening security posture.
-
📈 Quantitative Risk Assessment:
-
💰 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:
-
🛡️ 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: 2026-02-24
-
📝 Description: Physical access to home office or equipment theft
-
📈 Quantitative Risk Assessment:
-
💰 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 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: 2026-03-05
- Next Scheduled Check: 2026-06-05
-
📊 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: 2026-02-14
%%{init: {'theme': 'base', 'themeVariables': {'pie1': '#D32F2F', 'pie2': '#4CAF50', 'pie3': '#2196F3', 'pie4': '#FF9800'}}}%%
pie title Risk Treatment Strategies
"Mitigate (100%)" : 22
"Accept w/Controls (32%)" : 7
"Transfer (5%)" : 1
"Avoid (0%)" : 0
| Priority | Total | Completed | In Progress | Planning | Overdue |
|---|---|---|---|---|---|
| Critical | 2 | 0 | 2 | 0 | 0 |
| High | 6 | 1 | 4 | 1 | 0 |
| Medium | 9 | 2 | 5 | 2 | 0 |
| Low | 4 | 2 | 2 | 0 | 0 |
| Minimal | 1 | 1 | 0 | 0 | 0 |
| TOTAL | 22 | 6 | 13 | 3 | 0 |
| Metric | Current | Target | Status |
|---|---|---|---|
| On-time Completion Rate | 94% | >95% | |
| Budget Adherence | 87% | >90% | |
| Risk Reduction Achieved | 78% | >80% | |
| Control Implementation | 85% | >90% |
| Review Type | Frequency | Next Due | Participants |
|---|---|---|---|
| Executive Risk Review | Monthly | 2026-04-05 | CEO |
| Quarterly Risk Assessment | Quarterly | 2026-06-05 | CEO |
| Annual Risk Strategy | Annual | 2027-03-05 | CEO |
| Incident-Based Review | As needed | N/A | CEO |
| 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% | ↑ | ✅ |
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
Assumptions: Major AI model upgrades annually; 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.
| 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 |
| 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: 300) | AI enables enterprise-grade delivery from sole proprietor, maintaining differentiation | 300 → 250 (2027) → 200 (2030) as AI amplifies capabilities |
| R-CASH-001 (Cash flow, Score: 288) | AI-driven revenue acceleration across all 5 business lines | 288 → 200 (2027) → 120 (2030) with scaling revenue |
| R-CYBER-001 (Security incident, Score: 200) | AI-enhanced threat detection and automated response reduces incident probability | 200 → 150 (2027) → 100 (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.
- 🎯 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 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 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
- 📊 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
📋 Document Control:
✅ Approved by: James Pether Sörling, CEO
📤 Distribution: CEO, External Risk Advisor, Insurance Company
🏷️ Classification:
📅 Effective Date: 2026-03-05
⏰ Next Review: 2026-06-05
🎯 Framework Compliance: