Documentation Index
Fetch the complete documentation index at: https://docs.dataharbor.co/llms.txt
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Schema & Key Analytics
Your schema, under surveillance. Continuous monitoring of your data’s shape. DataHarbor learns schema over time and surfaces emerging risks automatically.How it works
As Virtual APIs are used, DataHarbor:- Learns schema shape over time
- Detects schema drift as new fields appear
- Flags uncovered keys that may contain sensitive data
- Identifies risky combinations that enable re-identification
- Surfaces compliance violations
Schema drift detection
When your upstream API adds new fields, DataHarbor notices. New fields are not automatically protected — you receive an alert to review and apply appropriate controls.Uncovered key detection
DataHarbor flags fields that may contain sensitive data but have no controls applied.Risky combination detection
Some field combinations enable re-identification even when individual fields seem safe. DataHarbor identifies these patterns — for example, the combination of zip code, date of birth, and gender can identify 87% of the US population.Compliance detection
Automatic detection of potential compliance violations:| Regulation | Detection |
|---|---|
| GDPR Article 4(1) | Personal data exposed without consent basis |
| CCPA | California resident PII without disclosure |
| HIPAA | PHI fields without BAA coverage |
Dashboard view
The Schema Analytics dashboard shows:- Schema coverage: Percentage of fields with controls applied
- Risk score: Aggregate risk based on uncovered and risky fields
- Field inventory: Complete list of observed fields with control status
- Alert history: Timeline of detected issues
Next steps
Data Remediation
Define how emerging risks should be remediated
Data Control
Apply controls to newly flagged fields