Why it matters
- Manual methodology is hard to scale and hard to prove after the fact.
- Different targets require different test depth, order and constraints.
- Repeatable execution improves quality and reporting.
Methodology Engine
Execute structured offensive methodologies with progress, evidence and repeatability.
Deterministic evidenceScope-aware executionAdaptive capability
Capability architecture
Methodology Engine: context, validation and evidence.
This capability contributes to the same platform outcome: understanding realistic attacker exposure and proving what matters.
ThreatCanary approach
- Store methodologies as structured steps with dependencies, tools, hypotheses and expected evidence.
- Adapt methodology selection based on graph context, technologies and risk.
- Track progress, outcomes and effectiveness over time.
What it validates or reveals
- Completed testing coverage.
- Methodology gaps and next steps.
- Evidence-linked execution history.
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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