RiskMaat builds CYRI, an AI-native platform for reasoning about systemic cyber risk—mapping dependencies, simulating propagation, and comparing interventions in interconnected environments.
Build an explicit dependency model across infrastructure, business services, and third parties. Represent exposures and shared providers as a graph, so cascading and cross-domain effects are visible before they materialize.
Stress-test decisions with what-if scenarios: alternative assumptions, response timing, control effectiveness, and mitigation choices. Compare outcomes to identify the interventions that reduce escalation risk under uncertainty.
Maintain a living view of risk by ingesting internal signals, incident intelligence, advisories, and open sources. Correlate weak signals into emerging threats and update assessments as new evidence arrives.
Produce defensible outputs with source provenance, traceability, and consistency checks. Explanations are human-reviewable and audit-friendly, supporting regulated decision-making and governance.
Core CYRI functions for systemic risk understanding and decision support — not operational alerting.
Cross-layer dependency graphs that surface propagation paths, shared providers, and concentration risk.
What-if scenarios for escalation dynamics, control effectiveness, and mitigation timing under uncertainty.
Continuous ingestion and enrichment from heterogeneous sources, keeping the system model current.
Explainability, provenance, auditability, and consistency checks built into every assessment.
Developed in collaboration with organizations across finance, insurance, and critical infrastructure. Current engagements are conducted under confidentiality.
Model systemic dependencies across shared providers, payment rails, and market infrastructure to surface concentration risk and escalation paths.
Assess correlated cyber exposures, accumulation risk, and tail scenarios to support portfolio stress testing and scenario-driven decisions.
Analyze cross-sector propagation across energy, transport, communications, and public services under adversarial and systemic stress.
RiskMaat develops CYRI (Cyber Risk Intelligence), an AI-native platform designed to reason about cyber-induced systemic risk. The team combines cybersecurity, responsible AI, complex systems modeling, and industrial-scale engineering.