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AI Glossary

PII Redaction

The automatic detection and removal of personally identifiable information from text before it reaches AI models.

TL;DR

  • —The automatic detection and removal of personally identifiable information from text before it reaches AI models.
  • —Understanding PII Redaction is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

PII redaction in the context of enterprise AI involves scanning user prompts for sensitive data patterns — Social Security numbers, credit card numbers, email addresses, phone numbers, names, and other identifiers — and either blocking the prompt entirely or replacing the PII with anonymized tokens before forwarding to the AI provider. This prevents sensitive data from being transmitted to third-party AI services, supporting GDPR, HIPAA, and CCPA compliance.

Related Terms

Data Loss Prevention (DLP)

Technologies and practices that detect and prevent unauthorized transmission of sensitive data.

Data Sovereignty

The principle that data is subject to the laws and governance of the jurisdiction where it is collected or processed.

Zero-Retention Policy

An architecture where no user conversation data is stored on servers, only existing in the user's browser.

AI Safety Layer

A middleware component that sits between users and AI models to enforce safety policies and controls.

Knowledge Hub

Glossary FAQs

PII Redaction is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage the automatic detection and removal of personally identifiable information from text before it reaches ai models.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize PII Redaction through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like Data Loss Prevention (DLP) and Data Sovereignty.

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