Ransomware activity
Security event matches an adversary technique and observable pattern.
Cyber-financial knowledge graph
Translate cyber threat into business impact.
Security platforms see alerts. Business leaders see financial exposure. A cybersecurity ontology connects both views—linking threats and controls to systems, data products, trades, portfolios, obligations and client outcomes.
A new risk language
Security risk becomes actionable when it knows the business.
A compromised market-data gateway is not just a technical asset. It feeds pricing, signals, portfolio decisions and regulatory reports. Our connected ontology makes those dependencies explicit.
Reasoning can then trace an observed indicator through affected infrastructure, exposed data products, financial positions, required controls and reporting obligations.
Interactive impact path
Threat → Control → Financial Consequence
Select a scenario to illuminate its ontology path.
Trading data platform
Ontology resolves infrastructure, applications, data and owners.
Immutable recovery
Required and implemented defensive techniques are compared.
Pricing & execution
Dependency graph identifies impacted capabilities and portfolios.
Resilience obligation
Policies, materiality thresholds, evidence and reporting are linked.
Reasoned findingPricing and execution services depend on the affected platform; recovery and continuity controls require validation.
Standards-aligned design
One semantic control plane.
Multiple trusted vocabularies.
We align relevant standards without forcing your organization into a single vendor model.
Financial business meaning
Entities, instruments, agreements, funds, markets and financial relationships.
Threat intelligence exchange
Indicators, threats, malware, vulnerabilities, relationships and observed data.
Adversary behavior
Real-world tactics and techniques for threat modeling and detection context.
Defensive techniques
Knowledge-graph-based countermeasures connected to digital artifacts.
Risk and governance outcomes
Govern, identify, protect, detect, respond and recover across the enterprise.
Evidence and provenance
Trace what was observed, generated, transformed, asserted and approved.
Cybersecurity ontology modules
Model the full path from identity to impact.
01Cyber Asset
System, application, endpoint, service, dataset, model, API
02Identity & Access
Person, service account, credential, role, privilege, policy
03Threat
Actor, campaign, malware, technique, indicator, vulnerability
04Control
Preventive, detective, corrective, recovery, control test
05Incident
Alert, observation, incident, investigation, response, evidence
06Business Impact
Capability, process, client, revenue, position, obligation
07Resilience
Dependency, tolerance, scenario, recovery, continuity
08Governance
Policy, risk, owner, exception, assessment, audit finding
Why it changes financial risk
See what is threatened—before the business feels it.
Connect the security operations center to enterprise architecture, data governance, operational resilience and financial risk.
Design a cyber-financial ontology ↗Tracethreats to material business services
Prioritizecontrols by financial impact
Explainrisk using visible evidence paths
Automatepolicy and obligation reasoning
Coordinatesecurity, data, risk and compliance teams