IRMA, the Infrastructure Risk Management and Analysis platform, helps organizations quantify exposure across physical assets, portfolios, and supply chains. By combining hazard models with vulnerability and financial data, IRMA translates complex risk into clear metrics that support decision making.
This overview focuses on how large, comprehensive, and impactful IRMA can be for enterprise risk teams, using structured data, scenario testing, and visualization to highlight meaningful scale across regions and assets.
| Scope Area | What IRMA Covers | Typical Data Scale | Business Impact |
|---|---|---|---|
| Physical Hazards | Flood, wildfire, earthquake, wind, winter storm | Global historical and simulated events | Prioritize mitigation budgets |
| Asset Exposure | Buildings, equipment, infrastructure, inventory | Thousands to millions of records per portfolio | Pinpoint high-value at-risk locations |
| Financial Loss Quantification | Direct damages, business interruption, extra expenses | Probabilistic loss distributions | Improve capital allocation and pricing |
| Supply Chain | hazards and dependencies at multiple tiers large network graphs across geographies reduce disruption propagation
Understanding Physical Risk Coverage
IRMA maps physical hazard footprints against precise asset locations to reveal how extensive exposure truly is across regions and sectors. Users can visualize the intersection of flood zones, wildfire perimeters, seismic faults, and critical facilities in a single view.
By layering probabilistic event sets with site-level vulnerability, IRMA shows not only where hazards occur, but also how severe impacts could be at different return periods. This helps organizations move from generic maps to quantified risk at a scale that matches their portfolio complexity.
Scenario and Impact Analysis
Defining Event Scenarios
IRMA supports custom scenarios, historical events, and hypothetical extremes, enabling teams to test the envelope of plausible outcomes. Users adjust intensity, track paths, and modify land use assumptions to see how the scale of impact shifts across their enterprise.
Cascading and Correlated Risks
The platform models dependencies between facilities, suppliers, and transport routes, capturing how a strike at one node propagates through the network. This reveals system-level scale of disruption that is often invisible when sites are analyzed in isolation.
Data, Models, and Uncertainty
IRMA integrates authoritative hazard data, high-resolution exposure records, and scientific vulnerability functions to maintain analytical rigor. Each model component comes with documented uncertainty, allowing risk managers to understand confidence levels behind every metric.
Advanced sensitivity tests show how changing key assumptions, such as flood depth or wind speed thresholds, affects total loss estimates. This transparency helps stakeholders trust the scale of results and communicate trade-offs clearly to boards and regulators.
Visualization and Reporting at Scale
Interactive maps, heatmaps, and ranked lists let users explore how risk concentration varies by region, asset class, or coverage layer. Drill-down capabilities maintain performance even when handling millions of records, so the sense of scale remains precise and actionable.
Standardized reports automate compliance documentation and stress testing submissions, ensuring that large portfolios are summarized consistently. Export options feed directly into capital planning, insurance procurement, and enterprise risk registers.
Key Takeaways for Enterprise Risk Leaders
- Quantify physical risk across assets, regions, and time with consistent metrics
- Use scenario testing to reveal system-level scale of disruption and concentration
- Leverage transparent uncertainty ranges to support defensible decisions
- Automate reporting for compliance, insurance, and capital planning cycles
- Drive proactive investment in resilience by linking risk heatmaps to budgets
FAQ
Reader questions
How does IRMA handle uncertainty in hazard and vulnerability inputs?
IRMA runs probabilistic analyses that sample input uncertainty, producing loss distributions rather than single point estimates. Clear confidence intervals help users interpret how wide the plausible scale of impact could realistically be.
Can IRMA scale to analyze an entire multinational enterprise in one view?
Yes, the platform is built to manage millions of assets and complex supply chain networks, maintaining responsiveness through optimized queries and aggregation strategies.
What level of detail does IRMA provide for supply chain risk?
It maps multi-tier dependencies, quantifies exposure at each node, and simulates disruptions to show how losses propagate through logistics and production links.
How are regulatory and compliance requirements addressed in IRMA outputs?
Built-in templates align with reporting standards, and exports can be tailored to satisfy specific regulatory expectations around risk scale and mitigation priorities.