Step-by-step technical hardening blueprints to prevent model training, cloud logging, API key leaks, and cross-border data transfers across ChatGPT, Claude, Gemini, DeepSeek, Perplexity, Copilot, Cursor, and Grok.
A complete step-by-step guide on how to secure ChatGPT for enterprise and personal use. Learn how to configure Data Controls, intercept React 19 inputs, sanitize PII/PHI in local browser RAM, and enforce HIPAA, GDPR, and SOC 2 compliance.
A complete step-by-step developer and enterprise guide on how to secure Anthropic Claude 3.5 Sonnet. Learn how to configure privacy preferences, sanitize multi-page PDFs and DOCX files in local WebAssembly memory, intercept ProseMirror inputs, and prevent confidential data leaks.
A complete step-by-step guide on how to secure Google Gemini against human reviewer sampling, account tracking, and enterprise data leaks. Learn how to configure Gemini Apps Activity, shield web textarea inputs, and sanitize prompts and images locally in browser RAM.
A complete step-by-step developer guide on how to secure DeepSeek R1 and V3 workflows against source code leaks, IP address exposure, and cross-border data transfers. Learn how to configure endpoint boundaries, intercept Vue chat inputs, and use @privacyscrubber/mcp-server.
A complete step-by-step guide on how to secure Perplexity AI for confidential market research, patent scouting, and competitive intelligence. Learn how to configure AI Data Retention controls, intercept in-page searchbars, and tokenize confidential queries locally in browser RAM.
A complete step-by-step guide on how to secure Microsoft 365 Copilot against internal oversharing, payroll leaks, and cloud logging. Learn how to sanitize Excel spreadsheets locally via WebAssembly, intercept browser inputs, and enforce endpoint data minimization.
A complete step-by-step developer guide on how to secure Cursor AI IDE. Learn how to configure Privacy Mode, write bulletproof .cursorignore rules, enforce system prompt defenses via .cursorrules, and deploy the air-gapped @privacyscrubber/mcp-server to tokenize credentials in RAM before model context ingestion.
A complete step-by-step guide on how to secure Grok and xAI workflows against model training, public telemetry leaks, and executive note exposure. Learn how to configure data sharing on X/xAI, attach in-page prompt shields, and sanitize PII in local browser RAM.
How PrivacyScrubber's Zero-Trust Data Sanitization engine protects your prompts, files, and code across all major AI platforms:
| AI Platform | Primary Risk Vector | In-Page DOM Shield | Stdio MCP / IDE | Reversible Detokenize | Server Egress |
|---|---|---|---|---|---|
| ChatGPT / OpenAI | Model training & React 19 contentEditable leaks | 0 Bytes | |||
| Claude (Anthropic) | 200k context PDF/DOCX leaks & ProseMirror DOM | 0 Bytes | |||
| Google Gemini | Human reviewer sampling & Google account linking | 0 Bytes | |||
| DeepSeek (R1 & V3) | Cross-border GDPR liabilities & server stack traces | 0 Bytes | |||
| Perplexity AI | Pro Search third-party API broadcast & M&A leaks | 0 Bytes | |||
| Microsoft Copilot | SharePoint ACL oversharing & Excel payroll leaks | 0 Bytes | |||
| Cursor & AI IDEs | @codebase vector indexing & .env secret exposure | — | 0 Bytes | ||
| Grok (xAI) | X platform model training & executive memo leaks | 0 Bytes |
Unlock your features
Your features are unlocked.
Zero-Server · Zero-Trust · 100% Local
Turn off your Wi-Fi right now and try pasting text into the tool below. It processes 100% in your local RAM without sending any network requests.
