PII redaction

Detecting and removing personally identifiable information from inputs, outputs, or stored data to prevent exposure.

When to use it

  • Support, HR, healthcare, or finance workflows using AI.
  • Training or fine-tuning on user data.
  • Sharing logs with vendors or analytics tools.

PM decision impact

Redaction reduces legal risk and speeds security reviews. PMs choose patterns to redact, acceptable recall/precision balance, and how to preserve utility after redaction. Over-redaction can hurt quality; under-redaction risks compliance.

How to do it in 2026

Run PII detectors on ingress and egress; replace with tokens; store mapping securely if needed. In 2026, maintain per-country rules (GDPR, CCPA) and prove redaction efficacy via sampled audits in your eval harness.

Example

Adding PII redaction before indexing support tickets cut leakage findings to zero in quarterly audits while answer accuracy dropped only 1.2%, an acceptable trade-off for enterprise contracts.

Common mistakes

  • Assuming provider-level redaction is enough; logs may still contain PII.
  • Redacting after indexing, leaving sensitive data stored.
  • Not auditing precision/recall, leading to silent failures.

Related terms

Learn it in CraftUp

Last updated: February 2, 2026