Strategic role
- Use graph intelligence to identify where deception could reveal attacker movement.
- Connect decoy interactions to assets, identities, APIs and attack paths.
- Feed observed behaviour back into threat hunting and validation workflows.
Defensive Deception
ThreatCanary deception concepts use attacker-path intelligence to place decoys, monitor interaction and learn from attempted movement.
Deterministic evidenceScope-aware executionAdaptive capability
Capability architecture
Use attack-path context to make deception deliberate.
Deception is most valuable when it is tied to real exposure, likely attacker paths and sensitive systems rather than deployed randomly.
Potential capabilities
- Decoy endpoints, honey assets, fake API documentation and monitored credentials.
- Alerting when decoys are touched, enumerated or abused.
- Correlation between deception events and known exposure or active findings.
Safety and governance
- Deploy only with customer approval and clear operating boundaries.
- Separate production controls from research or simulation environments.
- Preserve evidence and event timelines for investigation.
Outcome
- Earlier signal of attacker exploration.
- Better understanding of likely movement paths.
- A feedback loop between deception, threat hunting and offensive validation.
See ThreatCanary in action
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