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.
Deterministic evidenceScope-aware executionAdaptive capability
Capability architecture
API Behaviour Analysis: context, validation and evidence.
This capability contributes to the same platform outcome: understanding realistic attacker exposure and proving what matters.
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 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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