Moderation and PII detection

Overview

• Content moderation categorizes content that may violate a product policy.
• PII detection identifies potentially private identity-linked information for masking, routing, or restricted handling.
• Both can use rules and models, and neither is perfectly accurate.

Why this matters

Public interfaces encounter abuse, while support documents contain private information that should not be sent or logged unnecessarily.

An everyday example

A receptionist redirects abusive behavior while a records clerk hides unnecessary personal details.

A technical example

Detect account numbers before trace logging; route a threatening message according to the organization's support policy.

How it works

1. Apply scoped checks
2. Classify affected fields/content
3. Redact or route
4. Preserve permitted task evidence
5. Record safe reason codes
6. Evaluate errors.

Architecture and flow

Content → moderation/PII checks → allowed, redacted, reviewed, or blocked path.

The insurance assistant example

Accident descriptions may legitimately include injuries; avoid blocking all such content while protecting sensitive details.

When to use it

User-facing applications, external document intake, and sensitive-data handling.

When to avoid it

Do not assume a regex finds all PII or use moderation as a substitute for account authorization.

Interview answer

“Moderation handles product-content policy; PII detection supports data minimization. I evaluate both for domain-specific false positives and misses.”

Benefits, trade-offs, and production considerations

• Store minimal labels rather than full rejected content in ordinary logs.
• Provide an escalation route where policy allows legitimate work despite uncertain classification.