Why it matters
- Shadow assets are often missed by CMDBs, cloud inventories and annual assessments.
- Forgotten development, staging or third-party systems can create real entry points.
- Unknown ownership slows remediation and increases breach risk.
Shadow Asset Detection
Find exposed assets that are outside approved inventories, ownership models or expected deployment paths.
Deterministic evidenceScope-aware executionAdaptive capability
Capability architecture
Shadow Asset Detection: context, validation and evidence.
This capability contributes to the same platform outcome: understanding realistic attacker exposure and proving what matters.
ThreatCanary approach
- Compare discovered assets against known scope, ownership and platform records.
- Identify assets with weak provenance, missing owner signals or unexpected exposure.
- Route suspected shadow assets into verification, ownership and validation workflows.
What it validates or reveals
- Unmanaged exposed systems.
- Assets lacking ownership or expected metadata.
- Shadow exposure that may connect to APIs, data or critical systems.
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
Book a technical demo