Quantitative Risk Analysis Through Systematic Assessment
Enterprise-grade Risk Methodology Demonstrating Cybersecurity Excellence
📋 Document Owner: CEO | 📄 Version: 2.1 | 📅 Last Updated: 2026-01-25 (UTC)
🔄 Review Cycle: Quarterly | ⏰ Next Review: 2026-04-25
Hack23 AB's risk assessment methodology demonstrates how quantitative risk analysis directly enables both security excellence and informed business decision-making. Our systematic assessment framework serves as both operational necessity and client demonstration of our cybersecurity consulting methodologies.
This methodology provides the quantitative foundation for all risk management activities, ensuring consistent, defensible, and statistically sound risk assessments across all business functions. Our approach showcases how proper risk quantification creates competitive advantages through data-driven decision-making and systematic security investment optimization.
Our commitment to transparency means our risk assessment practices become a showcase of analytical excellence, demonstrating to potential clients how methodical approaches to risk quantification create measurable business value.
— James Pether Sörling, CEO/Founder
This methodology establishes the quantitative framework for assessing all risks within Hack23 AB's enterprise risk management program, ensuring consistent evaluation, prioritization, and treatment of risks across all business functions.
Scope: All risk assessments supporting the Risk Register, integrated with Classification Framework impact levels, and applied to assets in the Asset Register.
Risk assessment combines probability (likelihood) with impact severity using statistical methods aligned with our Classification Framework:
All risks are evaluated using descriptive probability categories with defined numerical ranges for quantitative analysis:
Building on our existing Classification Framework impact levels:
Risk Score = Likelihood Probability (midpoint) × Impact Score (1-6) × 100
graph TD
A[Risk Identification] --> B[Likelihood Assessment]
A --> C[Impact Assessment]
B --> B1[🔥 Almost Certain: 90%<br/>Score: 0.9]
B --> B2[🎯 Likely: 70%<br/>Score: 0.7]
B --> B3[⚖️ Possible: 50%<br/>Score: 0.5]
B --> B4[🛡️ Unlikely: 30%<br/>Score: 0.3]
B --> B5[💎 Rare: 12%<br/>Score: 0.12]
B --> B6[🌟 Exceptional: 2%<br/>Score: 0.02]
C --> C1[🔥 Catastrophic: 6<br/>€50K+ impact]
C --> C2[🚨 Critical: 5<br/>€10K-50K impact]
C --> C3[⚠️ High: 4<br/>€1K-10K impact]
C --> C4[🟡 Moderate: 3<br/>€500-1K impact]
C --> C5[🟢 Low: 2<br/>€100-500 impact]
C --> C6[⚪ Minimal: 1<br/><€100 impact]
B1 --> D[Risk Score Calculation<br/>Probability × Impact × 100]
B2 --> D
B3 --> D
B4 --> D
B5 --> D
B6 --> D
C1 --> D
C2 --> D
C3 --> D
C4 --> D
C5 --> D
C6 --> D
D --> E{Risk Level Assignment}
E -->|Score 400-600| F[🔴 Critical Risk<br/>Immediate action required]
E -->|Score 200-399| G[🟠 High Risk<br/>Priority mitigation needed]
E -->|Score 100-199| H[🟡 Medium Risk<br/>Planned controls required]
E -->|Score 50-99| I[🟢 Low Risk<br/>Monitor and accept]
E -->|Score 1-49| J[⚪ Minimal Risk<br/>Accept risk]
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SLE = Asset Value × Exposure Factor (EF)
Where:
- Asset Value: Total value of affected business assets (revenue, data, systems)
- Exposure Factor: Percentage of asset value lost in a single incident (0.1-1.0)
| Likelihood Category | ARO Range | Statistical Basis | Calculation Method | Confidence Level |
|---|---|---|---|---|
| 🔥 Almost Certain | 0.8-0.99 | Historical frequency + trend analysis | (Events last 3 years ÷ 3) adjusted for trends | 95% confidence |
| 🎯 Likely | 0.6-0.79 | Industry benchmarks + internal data | Weighted average of sector data (70%) + internal (30%) | 90% confidence |
| ⚖️ Possible | 0.4-0.59 | Expert judgment + external data | Monte Carlo simulation with confidence intervals | 80% confidence |
| 🛡️ Unlikely | 0.2-0.39 | Statistical modeling + peer comparison | Bayesian analysis with prior industry data | 70% confidence |
| 💎 Rare | 0.05-0.19 | Extreme value theory + stress testing | Tail risk modeling with 95% confidence | 95% confidence |
| 🌟 Exceptional | <0.05 | Black swan analysis + scenario planning | Monte Carlo with fat-tail distributions | 99% confidence |
ALE = SLE × ARO with statistical confidence intervals
graph LR
A[📊 Historical Data<br/>3-5 years] --> B[📈 Probability Distribution<br/>Modeling]
C[🏢 Industry Benchmarks<br/>Sector Analysis] --> B
D[👨💼 Expert Assessment<br/>Scenario Analysis] --> B
B --> E[🎲 Monte Carlo<br/>Simulation<br/>10,000 iterations]
E --> F[💰 ALE Calculation<br/>with Confidence Bands]
F --> G[💹 Expected ALE<br/>50th percentile]
F --> H[🛡️ Conservative ALE<br/>95th percentile]
F --> I[🚨 Worst Case ALE<br/>99th percentile]
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Each risk includes comprehensive statistical analysis:
VaR represents the maximum expected loss over a specified time period at a given confidence level:
VaR = Impact (€) × Probability (decimal) × Confidence Factor × Time Horizon Factor
All risks undergo systematic evaluation using our Classification Framework methodology:
Risk categories provide systematic classification enabling consistent assessment and treatment strategies across the organization:
| Continuity Dimension | Risk Assessment Focus | Time Range | Badge |
|---|---|---|---|
| 🚨 RTO Impact | Service restoration time objectives | ||
| 🔄 RPO Impact | Data loss tolerance levels |
Risk assessment incorporates strategic market positioning analysis:
Use this standardized template for all risk assessments:
#### **RISK-XXX: [Risk Title]**
- **📝 Description:** [Comprehensive risk description]
- **🎯 Risk Category:** [Select appropriate category badge from table below]
**Available Risk Categories:**
- [](./Risk_Assessment_Methodology.md#risk-category-classifications) - Operational continuity threats
- [](./Risk_Assessment_Methodology.md#risk-category-classifications) - Market positioning risks
- [](./Risk_Assessment_Methodology.md#risk-category-classifications) - Revenue and cash flow risks
- [](./Risk_Assessment_Methodology.md#risk-category-classifications) - IT and cloud service risks
- [](./Risk_Assessment_Methodology.md#risk-category-classifications) - Information security threats
- [](./Risk_Assessment_Methodology.md#risk-category-classifications) - Third-party supplier risks
- [](./Risk_Assessment_Methodology.md#risk-category-classifications) - People and talent risks
- [](./Risk_Assessment_Methodology.md#risk-category-classifications) - Legal compliance risks
- [](./Risk_Assessment_Methodology.md#risk-category-classifications) - IP and legal disputes
- [](./Risk_Assessment_Methodology.md#risk-category-classifications) - Technology obsolescence
- [](./Risk_Assessment_Methodology.md#risk-category-classifications) - Strategic positioning risks
- [](./Risk_Assessment_Methodology.md#risk-category-classifications) - Physical security risks
- **🏆 Pentagon Dimension:** [Select: 🔒 Security | ✨ Quality | 🚀 Functionality | 🧪 QA | 📋 ISMS Controls]
- **🤖 Agent Identified:** [Yes/No] - [Task Agent Name if applicable, e.g., "ISMS Task Agent", "CIA Task Agent"]
- **📊 Automated Evidence:**
- [CIA Compliance Manager link if applicable]
- [OpenSSF Scorecard: `https://api.securityscorecards.dev/projects/github.com/Hack23/{repo}/badge`]
- [SonarCloud Quality Gate if applicable]
- [FOSSA License Status if applicable]
- **📈 Quantitative Risk Assessment:**
- **Probability Score:** X/5 ([Likelihood Level] - [Supporting rationale])
- **Impact Score:** X/5 ([Impact Level] - [Supporting rationale])
- **Base Risk Score:** XX ([Risk Level] with trend direction)
- **Pentagon Priority Multiplier:** X.X× (based on Pentagon dimension)
- **Adjusted Risk Score:** XXX ([Final Risk Level] after Pentagon adjustment)
- **💰 Financial Risk Analysis:**
- **Single Loss Expectancy (SLE):** €XXK ([breakdown of costs])
- **Annual Rate of Occurrence (ARO):** X.X ([frequency reasoning])
- **Annual Loss Expectancy (ALE):** €XXK annually
- **Value at Risk (95% confidence):** €XXK over 12 months
- **📊 Business Impact Analysis:**
- **Financial:** [](./CLASSIFICATION.md#financial-impact-levels)
- **Operational:** [](./CLASSIFICATION.md#operational-impact-levels)
- **Reputational:** [](./CLASSIFICATION.md#reputational-impact-levels)
- **Regulatory:** [](./CLASSIFICATION.md#regulatory-impact-levels)
- **🔒 Security Classification Impact:**
- **Confidentiality:** [](./CLASSIFICATION.md#confidentiality-levels) - [Impact description]
- **Integrity:** [](./CLASSIFICATION.md#integrity-levels) - [Impact description]
- **Availability:** [](./CLASSIFICATION.md#availability-levels) - [Impact description]
- **⏱️ Business Continuity Impact:**
- **RTO:** [](./CLASSIFICATION.md#rto-classifications) - [Recovery requirement]
- **RPO:** [](./CLASSIFICATION.md#rpo-classifications) - [Data loss tolerance]
- **🎯 Strategic Impact (Porter's Five Forces):**
- **[Force] Risk:** [](./CLASSIFICATION.md#porters-five-forces) - [Strategic impact]
- **[Additional forces as relevant]**
- **🛡️ Current Controls:**
- [List of existing risk controls]
- **📈 Treatment Strategy:**
- **Priority 1:** [Immediate actions]
- **Priority 2:** [Medium-term improvements]
- **Priority 3:** [Long-term enhancements]
- **🔍 Monitoring:** [Monitoring approach and frequency]
- **👤 Risk Owner:** [Responsible party]
- **📅 Next Review:** [Review date]Ensure each risk assessment meets these quality criteria:
- Risk identification complete with clear description and category
- Quantitative scoring includes probability, impact, and total risk score
- Financial analysis includes SLE, ARO, ALE, and VaR calculations
- Business impact covers all four dimensions (Financial, Operational, Reputational, Regulatory)
- Security classification addresses CIA triad impacts
- Business continuity includes RTO and RPO assessments
- Strategic analysis incorporates relevant Porter's Five Forces
- Probability assignment aligns with likelihood framework definitions
- Impact scoring matches classification framework criteria
- Risk score calculation follows formula: Probability × Impact × 100
- Financial calculations use appropriate asset values and exposure factors
- Statistical analysis includes confidence intervals and methodology notes
- VaR calculations use correct time horizon and confidence levels
- All impact badges properly formatted and linked to classification framework
- Security classification badges use correct levels and colors
- Business continuity badges accurately reflect time windows
- Strategic impact badges align with Porter's Five Forces definitions
- All badge links point to correct framework anchor sections
- Risk description provides sufficient detail for understanding
- Supporting rationale included for all scoring decisions
- Current controls accurately reflect implemented measures
- Treatment strategy prioritized with clear action items
- Monitoring approach specified with appropriate frequency
- Review dates established and realistic
Hack23 AB's curated agent ecosystem (per Information Security Strategy) systematically identifies risks during repository analysis, coordinating across the Pentagon of Continuous Improvement framework.
Task agents perform continuous risk discovery through systematic repository and ISMS analysis:
flowchart TD
ANALYSIS[📊 Task Agent Repository Analysis] --> PENTAGON{🏆 Pentagon Dimension<br>Assignment}
PENTAGON -->|Security| SEC_RISK[🔒 Security Risk Identified]
PENTAGON -->|Quality| QUAL_RISK[✨ Quality Risk Identified]
PENTAGON -->|Functionality| FUNC_RISK[🚀 Functionality Risk Identified]
PENTAGON -->|QA| QA_RISK[🧪 QA Risk Identified]
PENTAGON -->|ISMS Controls| ISMS_RISK[📋 ISMS Control Gap Identified]
SEC_RISK --> SCORE[📊 Agent Risk Scoring<br>Likelihood × Impact × 100]
QUAL_RISK --> SCORE
FUNC_RISK --> SCORE
QA_RISK --> SCORE
ISMS_RISK --> SCORE
SCORE --> CRITICAL{🚨 Critical Risk?<br>Score > 400}
CRITICAL -->|Yes| HUMAN[👨💼 CEO Immediate Assessment]
CRITICAL -->|No| REGISTER[📋 Automated Risk Register Entry]
REGISTER --> ASSIGN[👷 Specialist Agent Assignment]
HUMAN --> REGISTER
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The Pentagon framework drives systematic risk prioritization across ISMS dimensions per Information Security Strategy:
| Pentagon Dimension | Risk Category Mapping | Agent Responsibility | Priority Multiplier |
|---|---|---|---|
| 🔒 Security | Cybersecurity, Infrastructure, Supply Chain | Security Architect Agent | 2.0× (highest) |
| ✨ Quality | Technology, Process | Code Quality Engineer | 1.5× |
| 🚀 Functionality | Strategic Business, Financial | Business Development Specialist | 1.8× |
| 🧪 QA | Operational, Compliance | Test Specialist | 1.3× |
| 📋 ISMS Controls | Regulatory Compliance, Legal | ISMS Ninja | 2.0× (highest) |
Strategic Value Alignment:
- Security & ISMS Controls: Highest priority multiplier (2.0×) reflecting critical business impact of control failures
- Functionality: High multiplier (1.8×) ensuring business value delivery and strategic objectives
- Quality: Moderate multiplier (1.5×) supporting long-term maintainability and technical excellence
- QA: Standard multiplier (1.3×) ensuring systematic validation and compliance
Agents apply this methodology's quantitative framework automatically, integrating Pentagon dimension priorities:
Automated Risk Calculation:
- Likelihood Assessment: Agent analyzes historical data, industry benchmarks, expert system rules
- Impact Assessment: Cross-references Classification Framework impact badges
- Risk Score Calculation:
Probability (0.02-0.99) × Impact (1-6) × 100 - Pentagon Priority Adjustment: Base score × Pentagon dimension multiplier
- Final Risk Level: Categorical assignment (Critical >400, High 200-399, Medium 100-199, Low 50-99, Minimal <50)
Example Risk Calculations:
Clear governance structure defines agent autonomy levels and CEO oversight requirements:
Agent Autonomy Levels:
- Critical Risks (>400): Agent identifies, CEO assesses and approves treatment
- High Risks (200-399): Agent proposes assessment, CEO reviews within 48 hours
- Medium Risks (100-199): Agent creates issue, specialist agent implements treatment with CEO periodic review
- Low/Minimal (<100): Agent documents and monitors, quarterly CEO review
Human Oversight Triggers:
- Financial Impact: >€5K requires CEO approval regardless of risk score
- Regulatory Impact: Any regulatory compliance risk requires CEO assessment
- Reputational Impact: National/international media potential requires CEO approval
- Strategic Impact: Business continuity or market positioning risks require CEO assessment
Agents automatically integrate quantified evidence into risk assessments:
Automated Evidence Links:
- OpenSSF Scorecard: Real-time supply chain security scores from
https://api.securityscorecards.dev/projects/github.com/Hack23/{repo}/badge - GitHub Actions: Automated CI/CD workflows with compliance evidence generation
- SonarCloud Quality Gate: Code quality and security vulnerability metrics
- FOSSA License Compliance: Open source license and dependency vulnerability status
- GitHub Security Alerts: Dependabot and secret scanning findings
Evidence Validation Criteria:
- Freshness: Evidence <30 days preferred, >90 days triggers re-assessment
- Accuracy: Automated evidence cross-referenced with manual validation quarterly
- Completeness: All risk categories must have at least one evidence source
- Auditability: Evidence links maintained with timestamps and agent identification
Automated risk KPI tracking enables data-driven risk management and continuous improvement:
| Metric Category | KPI | Measurement Method | Target | Review Frequency |
|---|---|---|---|---|
| Risk Discovery Rate | Risks identified per agent analysis cycle | Agent issue creation logs | 5-10 new risks per quarterly analysis | Quarterly |
| Agent Triage Accuracy | % of agent-identified risks confirmed by CEO | CEO risk assessment approvals | >85% confirmation rate | Quarterly |
| Pentagon Distribution | Risk count by Pentagon dimension | Risk Register category analysis | Balanced across all 5 dimensions | Monthly |
| Treatment Velocity | Average time from agent identification to mitigation | Risk Register status tracking | <30 days for High risks | Monthly |
| Evidence Automation Rate | % of risks with automated evidence links | Risk assessment template validation | >80% with automated evidence | Quarterly |
Systematic agent-driven quarterly risk assessment workflow:
sequenceDiagram
participant CEO as 👔 CEO
participant TaskAgent as 📋 Task Agent
participant RiskReg as 📉 Risk Register
participant ISMS as 📚 ISMS-PUBLIC
participant Specialist as 👷 Specialist Agent
Note over CEO,Specialist: Quarterly Risk Review Cycle
CEO->>TaskAgent: Initiate quarterly risk review
TaskAgent->>ISMS: Load Risk_Assessment_Methodology.md
TaskAgent->>RiskReg: Analyze existing risks
TaskAgent->>TaskAgent: Calculate risk scores<br>Apply Pentagon multipliers
TaskAgent->>TaskAgent: Identify new risks<br>Assess control effectiveness
TaskAgent->>RiskReg: Update risk scores and trends
TaskAgent->>CEO: Generate review report<br>Critical risks, trends, recommendations
CEO->>CEO: Review critical risk assessments
CEO->>TaskAgent: Approve/modify risk treatments
TaskAgent->>Specialist: Assign treatment implementation
Specialist->>RiskReg: Update treatment status
Specialist->>CEO: Report treatment completion
CEO->>RiskReg: Approve quarterly review
RiskReg->>ISMS: Update next review date
When Agents Operate Autonomously:
- Risk scoring and Pentagon dimension assignment
- Evidence collection from automated sources (OpenSSF, SonarCloud, FOSSA)
- Low/Minimal risk monitoring and quarterly reporting
- Risk trend analysis and dashboard updates
When CEO Assessment Required:
- Critical risk identification (score >400)
- High risk treatment strategy approval
- Financial impact assessment (>€5K)
- Regulatory compliance risks
- Reputational impact risks (media potential)
- Strategic business continuity risks
When Specialist Agents Execute:
- Medium risk treatment implementation (100-199 score)
- Technical control implementation
- Process improvement execution
- Documentation updates
- Automated testing and validation
Automated analytics tracking Pentagon-aligned risk management performance:
Dashboard Components:
- Pentagon Risk Heatmap: Risk distribution across 5 Pentagon dimensions with severity color coding
- Risk Trend Analysis: 12-month rolling risk score trends with treatment velocity indicators
- Agent Performance Metrics: Triage accuracy, evidence automation rate, treatment velocity by agent type
- Critical Risk Alerts: Real-time monitoring of risks >400 score requiring CEO assessment
- Compliance Risk Summary: ISO 27001, NIST CSF, CIS Controls, GDPR, NIS2 compliance gap tracking
Dashboard Access:
- CEO View: Strategic risk overview with critical risk alerts and Pentagon dimension balance
- Task Agent View: Risk discovery opportunities and assessment queue
- Specialist Agent View: Assigned treatment tasks and implementation deadlines
- Public Transparency View: Aggregated risk trends and treatment effectiveness (no sensitive details)
- 🎯 Information Security Strategy — AI-first operations, Pentagon of Continuous Improvement, and agent ecosystem
- 🔐 Information Security Policy — Security risk management context and AI-First Operations Governance
- 🤖 AI Policy — AI agent governance and least-privilege requirements
- 🏷️ Classification Framework — Impact level definitions and business analysis matrix
- 📉 Risk Register — Application of this methodology
- 💻 Asset Register — Asset valuations for SLE calculations
- 🤝 Third Party Management — Supplier risk assessment
- 🔄 Business Continuity Plan — RTO/RPO requirements
- 📊 Security Metrics — Risk monitoring and measurement
📋 Document Control:
✅ Approved by: James Pether Sörling, CEO
📤 Distribution: Public
🏷️ Classification:
📅 Effective Date: 2026-01-25
⏰ Next Review: 2026-04-25
🎯 Framework Compliance: