Why it matters
- Not every API carries the same business risk.
- Sensitive data exposure changes severity, compliance impact and monitoring requirements.
- Teams need to know which APIs protect the most important data.
Sensitive Data Security
Identify APIs that handle PII, payment data, credentials, health data or other crown-jewel information.
Deterministic evidenceScope-aware executionAdaptive capability
Capability architecture
Sensitive Data Security: context, validation and evidence.
This capability contributes to the same platform outcome: understanding realistic attacker exposure and proving what matters.
ThreatCanary approach
- Detect sensitive data types from specs, traffic metadata, field names and configured classifiers.
- Apply tags such as pii, payment_data, auth_data or phi where appropriate.
- Use data sensitivity as a multiplier in risk scoring, monitoring and reporting.
What it validates or reveals
- Sensitive APIs and data flows.
- Excessive data exposure or unexpected PII handling.
- Compliance-relevant API risk.
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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