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Data Remediation

Fix it before it leaves the door. Proactive AI-assisted remediation. When risky data patterns appear, DataHarbor can apply protection immediately and alert you to review.

How it works

  1. Detect — Schema Analytics identifies a risk
  2. Suggest — DataHarbor recommends a remediation
  3. Apply — Optionally auto-apply with human-in-the-loop approval
  4. Verify — Confirm the fix resolves the issue

Remediation policy

Define how DataHarbor responds to newly detected fields based on risk level. Remediation rules live alongside your controls in the Virtual API Configuration:
When Schema Analytics detects a new field, DataHarbor classifies it by risk level and applies the matching remediation rule. High-risk fields like credit card numbers are redacted and trigger an alert for review. Medium-risk fields are quietly redacted. Low-risk fields are left alone.

Remediation actions

Human-in-the-loop

Even when remediation is automatic, you maintain control:
  • Review queue — All auto-applied remediations appear for review
  • Undo — Revert any auto-applied control
  • Tune — Adjust risk classifications per field
  • Exclude — Mark specific fields as “known safe” so they’re never auto-remediated

Audit trail

Every remediation — whether automatic or manual — is logged with the field name, risk classification, action taken, and who reviewed it.

Next steps

Schema Analytics

Understand what triggers remediation

Data Control

Apply or refine controls manually