Why it matters
- API risk often lives in behaviour, not only schema.
- Business logic, sequence abuse and identity misuse require behavioural context.
- Traffic and logs can reveal APIs that documentation misses.
API Behaviour Analysis
Understand API request patterns, auth flows, sequences, data exposure and abnormal behaviour.
Evidence traceApproved scopeTarget-aware testing
Capability architecture
Model how the API behaves across identity, sequence and state.
Behaviour analysis identifies meaningful differences across users, roles, objects and workflows before forming validation hypotheses.
ThreatCanary approach
- Ingest metadata from logs and gateways where available.
- Learn baselines for endpoints, sequences, response sizes, auth patterns and usage levels.
- Use behavioural signals to trigger validation, anomaly review or sensitive data workflows.
What it validates or reveals
- Abnormal API behaviour.
- Sequence and usage patterns relevant to business logic testing.
- Zombie, low-traffic or high-risk endpoints.
Evidence produced
- Observed request sequence and state transitions.
- Role, object and response differences.
- Anomaly or abuse hypothesis with supporting context.
Evaluate the capability
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