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The Privacy Filter Model

🛡️ Enterprise Privacy & Governance 15 min 350 BASE XP

Local PII Redaction (April 2026)

OpenAI released the Privacy Filter, an open-weight 1.5B parameter model designed to detect and redact Personally Identifiable Information (PII) before data leaves your infrastructure.

Enterprise Architecture

  1. User submits raw text containing sensitive data.
  2. Local Privacy Filter scans and replaces PII with tokens (e.g., [NAME_1], [CREDIT_CARD]).
  3. Sanitized text is sent to the OpenAI API for processing.
  4. API returns results. Local system maps tokens back to original PII.

Data Retention Policies

PlanData Used for Training?Retention
API (default)No30 days for abuse monitoring
API (zero retention)No0 days — nothing stored
ChatGPT FreeYes (opt-out available)Varies
ChatGPT EnterpriseNoConfigurable

Compliance Certifications

  • SOC 2 Type II: Enterprise security controls verified
  • GDPR: EU data processing agreements available
  • HIPAA: BAA available for healthcare customers
🔒 Zero-Trust Pattern: Privacy Filter + Zero Retention API = sensitive data never touches OpenAI's servers in readable form. This satisfies the strictest compliance requirements.
SYNAPSE VERIFICATION
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Where is the Privacy Filter model deployed?
On OpenAI's servers
Locally on the enterprise's own infrastructure
In the browser
On a blockchain
Watch: 139x Rust Speedup
The Privacy Filter Model | Enterprise Privacy & Governance — OpenAI Academy