Guide users through a basic risk assessment workflow in CISO Assistant, from asset identification to scenario creation...
Guide users through risk assessment setup using MCP server tools.
get_folders()When creating objects, always pass folder_id to scope lookups and avoid ambiguity errors when objects with the same name exist in different folders.
# CORRECT - folder_id scopes all lookups to ACME folder
create_risk_scenario(
name="Ransomware on Customer Data",
risk_assessment_id="ACME Risk Assessment 2025",
folder_id="ACME", # <- Scopes asset/threat lookups
assets=["Customer Data"],
threats=["Ransomware"],
threat_library="urn:intuitem:risk:library:intuitem-common-catalog"
)
Threats exist in multiple libraries (intuitem catalog, MITRE ATT&CK, etc.). Always specify the library:
threat_library="urn:intuitem:risk:library:intuitem-common-catalog"
Always explain why a scenario matters for this specific organization:
"Ransomware attack encrypting customer data, leading to service disruption.
Relevance: GDPR breach implications with mandatory 72-hour notification
and potential fines up to 4% of annual revenue."
Ask the user which approach they prefer:
| Approach | Description | Best For |
|---|---|---|
| Qualitative | Probability/impact scales (Low/Medium/High), 4x4 or 5x5 matrix | Initial assessments, stakeholder communication |
| Quantitative | Monetary values, Monte Carlo simulations, ALE calculations | Mature orgs, budget justification, executive reporting |
Ask about:
# 1. Create folder (domain)
create_folder(name="ACME", description="ACME Corp - Tech/SaaS, EU-based")
# 2. Create perimeter (assessment scope)
create_perimeter(name="ACME Platform", folder_id="ACME")
Use references/typical-assets.md to suggest assets based on context.
Primary Assets (PR) - Business value:
Supporting Assets (SP) - Infrastructure:
# Create assets - always pass folder_id
create_asset(name="Customer Data", description="Customer PII - GDPR relevant",
asset_type="PR", folder_id="ACME")
create_asset(name="Production Database", description="Primary data storage",
asset_type="SP", folder_id="ACME")
# Import the intuitem common catalog (23 threats)
import_stored_library("urn:intuitem:risk:library:intuitem-common-catalog")
# Verify threats are available
get_threats(library="urn:intuitem:risk:library:intuitem-common-catalog")
Use the Threat-Asset Relevance Matrix in references/typical-assets.md to suggest the most relevant threat-asset combinations.
Naming convention: [Threat] on [Asset]
Present top 10-15 combinations and let user select which to create.
For Qualitative:
# Check available matrices
get_risk_matrices()
# Use matrix UUID to avoid ambiguity
create_risk_assessment(
name="ACME Risk Assessment 2025",
risk_matrix_id="<matrix-uuid>", # Use UUID from get_risk_matrices()
perimeter_id="ACME Platform",
folder_id="ACME",
status="in_progress"
)
For Quantitative:
create_quantitative_risk_study(
name="ACME Quantitative Risk Study 2025",
folder_id="ACME",
distribution_model="lognormal_ci90"
)
For Qualitative:
create_risk_scenario(
name="Ransomware on Customer Data",
description="Ransomware attack encrypting customer data. Relevance: GDPR breach with 72-hour notification requirement.",
risk_assessment_id="ACME Risk Assessment 2025",
folder_id="ACME", # CRITICAL: scope lookups
assets=["Customer Data"],
threats=["Ransomware"],
threat_library="urn:intuitem:risk:library:intuitem-common-catalog"
)
For Quantitative:
create_quantitative_risk_scenario(
name="Ransomware on Customer Data",
description="Ransomware attack... Relevance: ...",
quantitative_risk_study_id="ACME Quantitative Risk Study 2025",
folder_id="ACME",
assets=["Customer Data"],
threats=["Ransomware"],
threat_library="urn:intuitem:risk:library:intuitem-common-catalog"
)
After creating scenarios, summarize and guide on next steps:
For Qualitative:
For Quantitative:
| Category | Tool | Key Parameters |
|---|---|---|
| Setup | create_folder() |
name, description |
create_perimeter() |
name, folder_id | |
| Assets | create_asset() |
name, description, asset_type, folder_id |
get_assets() |
folder | |
| Threats | import_stored_library() |
urn_or_id |
get_threats() |
library, folder, limit | |
| Qualitative | get_risk_matrices() |
- |
create_risk_assessment() |
name, risk_matrix_id, perimeter_id, folder_id | |
create_risk_scenario() |
name, description, risk_assessment_id, folder_id, assets, threats, threat_library | |
| Quantitative | create_quantitative_risk_study() |
name, folder_id, distribution_model |
create_quantitative_risk_scenario() |
name, quantitative_risk_study_id, folder_id, assets, threats, threat_library |
urn:intuitem:risk:library:intuitem-common-catalog
| Threat | Typical Target Assets |
|---|---|
| Ransomware | Customer Data, Databases, File Storage |
| Phishing | Employee Endpoints, Corporate Email |
| Data Breach/Leak | Customer Data, Source Code, API Keys |
| Cloud Security Threats | Cloud Infrastructure, SaaS Apps |
| API Security Threats | Application Code, API Gateway |
| Insider Threats | API Keys/Secrets, Source Code |
| Supply Chain Attacks | CI/CD Pipeline, Dependencies |
| Password Attacks | Corporate Email, Admin Accounts |
| System Outage | Production Database, Core Services |
| Regulatory Non-Compliance | Customer Data (GDPR/HIPAA/PCI) |
| Social Engineering | Employee Endpoints, Finance Team |
If MCP tools unavailable:
POST /api/folders/POST /api/perimeters/POST /api/assets/POST /api/stored-libraries/<urn>/import/POST /api/risk-assessments/POST /api/risk-scenarios/POST /api/crq/quantitative-risk-studies/POST /api/crq/quantitative-risk-scenarios/