ExposureGraphGraph Intelligence
Graph Intelligence is ThreatCanary’s relationship layer: assets, APIs, identities, vulnerabilities, owners, data and trust boundaries connected into one attack-path model.
Deterministic evidenceScope-aware executionAdaptive capability
Capability architecture
Turn disconnected findings into compromise paths.
The graph is the platform memory that lets ThreatCanary reason over relationships instead of evaluating each signal in isolation.
01Why it matters
- Most tools produce lists: assets, APIs, CVEs, alerts and tickets.
- Attackers exploit relationships: a service connected to an API, an API connected to sensitive data, an identity connected to a trust boundary.
- Without relationship modelling, teams over-prioritise noisy findings and miss quiet paths to compromise.
02ThreatCanary approach
- Models assets, APIs, cloud services, identities, owners, data sensitivity, observations, hypotheses, tests and findings as connected entities.
- Weights relationships using exploitability, exposure, confidence, trust, data sensitivity and business context.
- Feeds offensive reasoning, blast-radius views, reporting, ownership routing and remediation prioritisation.
03Questions it answers
- What can this exposed system reach?
- Which APIs or identities make this finding more serious?
- Which assets form a realistic path to crown-jewel data?
- Which teams own the path and what evidence supports action?
04Outputs
- Interactive attack-path and blast-radius views.
- Relationship-aware risk scoring and prioritisation.
- Graph-backed context for AI advisors, reports and validation workflows.
- Evidence chains that explain why a finding matters beyond its isolated severity.
