Graph Intelligence

ExposureGraph

Connect exposure data into the graph so assets, APIs, trust boundaries and findings can be reasoned over together.

Deterministic evidenceScope-aware executionAdaptive capability
Capability architecture

ExposureGraph: context, validation and evidence.

This capability contributes to the same platform outcome: understanding realistic attacker exposure and proving what matters.

01

Why it matters

  • External exposure is only meaningful when teams can see what it connects to.
  • A single exposed service may matter because of the API, identity or data path behind it.
  • Attack-path validation requires graph context, not isolated observations.
02

ThreatCanary approach

  • Create relationships between domains, services, APIs, cloud resources, identities, data tags and findings.
  • Propagate risk through relationships and surface the paths that matter most.
  • Use the graph as grounded context for AI advisors and offensive reasoning.
03

What it validates or reveals

  • Exposure chains.
  • Blast radius from exposed systems.
  • Relationships that turn low-severity findings into high-priority paths.
04

Evidence and outputs

  • A clear explanation of the exposure, affected assets and likely attack path.
  • Reproducible evidence suitable for analysts, developers and risk owners.
  • Prioritisation based on exploitability, business impact, sensitive data and chainability.
  • Owner, remediation and workflow context that can move into Jira, Slack, SIEM or reporting.

See ThreatCanary in action

Stop counting vulnerabilities. Start proving compromise paths.

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