Why it matters
- Security teams sometimes need a test that does not exist yet.
- Generated tools must be governed, reviewed and validated before use.
- Enterprise buyers need safety language, not reckless terminology.
Controlled Test Generation
Generate controlled validation tools or test cases when a hypothesis cannot be tested by existing capability.
Deterministic evidenceScope-aware executionAdaptive capability
Capability architecture
Controlled Test Generation: context, validation and evidence.
This capability contributes to the same platform outcome: understanding realistic attacker exposure and proving what matters.
ThreatCanary approach
- Create a tool request when no suitable test exists for a validated hypothesis.
- Generate or adapt controlled test logic using graph context, vulnerability intelligence and methodology.
- Validate generated tests in isolated environments and require approval before sensitive use.
What it validates or reveals
- Missing test coverage.
- Target-specific validation tools.
- Safe promotion of generated tests into approved workflows.
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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