Pii redaction

What is PII redaction?

· Glossary

Short answer

PII redaction is the practice of detecting and masking personally identifiable information, such as names, addresses, card numbers, and health details, in conversations before they are stored, processed by AI models, or used for training. The sensitive value is replaced with a placeholder; the surrounding text stays usable.

In an AI customer service pipeline, redaction sits between capture and everything downstream. A conversation arrives, PII is detected and masked, and only then does the transcript flow to storage, model calls, analytics, or training sets. Position matters: every later stage inherits whatever the boundary lets through.

Detection is the hard part. Structured fields announce themselves; free text does not. A card number arrives split across two messages, an address reads like ordinary prose, and names collide with common words. Pattern matching alone misses context, so credible redaction layers combine patterns with models that read meaning. The popular shortcut this page rejects: piping raw transcripts to third-party models and treating the vendor's goodwill as the data boundary. Goodwill is not a control. The boundary must be technical: redact, scope access, or hold retention at zero before data leaves your perimeter.

Redaction vs anonymization vs zero retention at a glance

DimensionRedactionAnonymizationZero retention
What happens to the dataSensitive values masked in placeIdentifiers removed or generalized across a datasetProvider stores nothing after responding
ReversibilityReversible if a mapping is keptDesigned to be irreversibleNothing retained to reverse
When to useLive conversations that must stay readableDatasets shared for analytics or researchModel calls to outside providers

Aide, the AI platform for customer service, treats redaction as one layer of a data boundary. Its Claude model calls run with zero data retention, its open-weight models run on Aide's own servers, and access is scoped so the AI reads only the fields a given intent requires. Masked where possible, scoped where not, retained nowhere it should not be.

Frequently asked questions

As early as possible: at ingestion, before storage, and always before a transcript leaves your perimeter for a model call or a training set. Redacting after storage leaves raw PII sitting in logs and backups.

No. Personalization draws on account context served through controlled fields at answer time, not on raw PII in stored transcripts. The AI reads a verified customer record while the saved conversation stays masked.

About Aide

Aide is the AI platform for customer service. Its AI agent answers customers and resolves orders, refunds and returns, inside Zendesk, Gorgias or Front, or on its own with Aide Helpdesk. Built for ecommerce brands, with deep Shopify integration. What is Aide (aide.app)?

The AI platform for customer service

Aide answers customers and resolves Shopify orders in chat, email and your helpdesk. Free to start.