Security
Security information will be published as controls are formally documented. No certification should be inferred from this page.
Trust centre
Trust, security, and responsible AI
Verified documentation on data handling, security, model governance, transparency, and compliance will be published as controls and policies are formally approved.
LIVE NETWORKDecision pathways
Emerging signalDisruption detectedCross source evidence
Critical pathwayPropagation activeHigh confidence
Priority actionPropagation interrupted
Data governance
The intended framework covers sources, permissions, retention, provenance, access, and separation of organisation data. Specific policies will be stated once approved.
Responsible AI
The governance approach is organised around model purpose, limitations, validation, human oversight, and auditability.
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
DominoRisk
Start with the risk question that matters most
Explore how connected signals, models, and decision workflows could support your organisation.