Sanitize Sensitive Data
Before Using AI.
Secure your industry-specific data before using LLMs with our zero-trust, local-only sanitization engine.
The Format AI Privacy Gap
Data Persistence
Raw sensitive inputs are often stored by AI vendors for model training.
Compliance Liability
Uploading unredacted PII violates industry-specific global privacy mandates.
Shadow AI Risk
Employees using unvetted AI tools create invisible data leakage vectors.
Raw Input: Sensitive Information here
Sanitized: Sanitized [PII_1] here
Secure Format AI Workflow
Enable high-performance AI without client data leaving your machine
Import Files
Upload documents locally into the PrivacyScrubber sandbox.
Local Masking
Identify and tokenize sensitive strings entirely within browser memory.
Analyze with AI
Submit sanitized prompts to ChatGPT or Claude for processing.
Reverse Scrub
Bring back original data into the AI response locally for the final draft.
Hardened Audit Standards
Satisfying strict global security frameworks for Format data.
Article 25
Privacy by design and by default.
Confid.
No data persistence on unauthorized infrastructure.
Data Priv.
State-level compliance for consumer masking.
A.8.11
Data masking standards for secure processing.
Implementation Guides
Explore specific PII redaction workflows for Format Teams
How to Anonymize CSV Data for Machine Learning
Safely anonymize CSV datasets locally before sharing or training AI models. Clean rows without cloud uploads.
Redact PII from Excel Files Automatically
Remove names, emails, and financial data from Excel exports before analysis.
Scrub JSON Data for LLM Processing
Detect and redact PII nested inside JSON payloads or API responses before sending to LLMs.
Anonymize Chat Logs and Transcripts
Remove user identities from chat logs (.txt) before running them through AI summarization.
Deploy Secure Format AI Today
Satisfy compliance requirements, eliminate disclosure risks, and innovate at the speed of AI.