See connected exposure
Bring hazards, operations, assets, infrastructure, and economic dependencies into one decision context.
Simulate
Simulate how local shocks become systemic impacts
Explore propagation paths, time horizons, uncertainty, and intervention scenarios before decisions become urgent.
LIVE NETWORKScenario comparison
Emerging signalDisruption detectedCross source evidence
Critical pathwayPropagation activeHigh confidence
Priority actionPropagation interrupted
Value to you
From complexity to action
Understand propagation
Trace how a local event can accumulate, amplify, or transfer impact across systems and time.
Prioritise intervention
Compare options using transparent evidence, uncertainty, and the outcomes that matter to your organisation.
Where it helps
Show the risk pathway, not just the alert
A useful cascade scenario connects a triggering event to the exposed network, the path of propagation, the resulting operational or financial consequences, and the interventions that could alter the outcome.
- What is exposed?
- How could impact spread?
- Where can action change the outcome?
LIVE NETWORKScenario comparison
Emerging signalDisruption detectedCross source evidence
Critical pathwayPropagation activeHigh confidence
Priority actionPropagation interrupted
How it works
From signal to decision
Observe
Connect signals, data, and domain context.
Map
Represent dependencies as a living network.
Simulate
Explore propagation and intervention scenarios.
Act
Prioritise decisions and communicate the evidence.
Core capabilities
Core foundations for trustworthy risk intelligence
Data foundations
A clear framework for sources, coverage, refresh cadence, provenance, and permissions.
Network intelligence
A structured view of relationships across assets, organisations, places, and systems.
Scenario modelling
A consistent approach to baseline, shock, adaptation, and mitigation scenarios with uncertainty.
Decision workflows
A framework for role-specific views, collaboration, reports, and auditable recommendations.
Integration
A structured path for APIs, data connectors, exports, identity, and enterprise workflows.
Governance
A framework for security, responsible AI, model documentation, and compliance evidence.
Evidence and outcomes
Build evidence into every risk decision
The framework keeps data provenance, model validation, uncertainty, research, and decision outcomes visible as evidence is verified and published.
01Data coverage and provenance
02Model validation and uncertainty
03Decision outcomes and learning
FAQ
What you need to know
These answers describe the current operating principles. Product-specific sources, controls, integrations, and documentation will be published as they are confirmed.
What data does DominoRisk use?+
DominoRisk is designed to combine organisation-authorised data with appropriately licensed public and commercial sources. Sources, refresh cadence, provenance, permissions, and permitted uses will be documented for each deployment.
How are cascade models validated?+
Validation is proportionate to the decision context. Documentation will identify assumptions, uncertainty, data limitations, applicable back-testing or sensitivity analysis, expert review, and the conditions under which a model should not be used.
How does DominoRisk fit existing workflows?+
Implementation begins with the decision, users, data permissions, and required outputs. Available integrations and export formats will be documented as they are released rather than implied in advance.
How is sensitive data protected?+
Sensitive or confidential information should not be submitted through the public website. Production security and privacy controls will be documented in the Trust Centre before they are relied upon for protected data.
Related insights
View allContinue exploring
How cascading risk changes the unit of analysis
An upcoming framework for examining connected exposure, propagation, and intervention.
Read moreFrom isolated alerts to connected decisions
A forthcoming practice note on turning signals into decision-ready context.
Read moreMapping dependencies before the next disruption
An upcoming briefing on how dependency mapping supports resilience planning.
Read moreDominoRisk
Start with the risk question that matters most
Explore how connected signals, models, and decision workflows could support your organisation.