Why it matters
- APIs are more than routes and methods.
- Good API security needs context across specs, runtime, owners, data and trust.
- A richer model enables better testing and more useful remediation.
APIGenome
Build a deeper model of each API: structure, behaviour, ownership, data, authentication and attack surface.
Deterministic evidenceScope-aware executionAdaptive capability
Capability architecture
APIGenome: context, validation and evidence.
This capability contributes to the same platform outcome: understanding realistic attacker exposure and proving what matters.
ThreatCanary approach
- Combine discovery, OpenAPI mapping, traffic observations, ownership signals and validation results.
- Classify API roles, sensitive data handling, auth patterns and behavioural traits.
- Use the model to guide testing, reporting and developer remediation.
What it validates or reveals
- API structure and behaviour.
- Data and trust relationships.
- Testing coverage and ownership gaps.
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
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