Why it matters
- Analysts need a way to proactively explore risk, not only consume findings.
- Graph queries reveal patterns that lists hide.
- Hunting becomes more powerful when it includes exposure, APIs, identity and validation state.
Threat Hunting
Query the graph for attacker-relevant patterns, exposure clusters and suspicious relationships.
Deterministic evidenceScope-aware executionAdaptive capability
Capability architecture
Threat Hunting: context, validation and evidence.
This capability contributes to the same platform outcome: understanding realistic attacker exposure and proving what matters.
ThreatCanary approach
- Provide graph query patterns, saved hunts and visual exploration.
- Search by asset, API, tag, owner, vulnerability, data type, confidence and time.
- Turn interesting observations into hypotheses, findings or reports.
What it validates or reveals
- Suspicious patterns.
- Related assets and APIs.
- Candidate attack paths for validation.
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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