Enterprise AI Platform Hardening Guides (2026)

How to Secure AI Platforms: The Complete Guide to Safe Prompt & Code Privacy

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.

100% Local RAM
0 Bytes Server Egress
In-Page DOM Shield
Stdio MCP for IDEs

ChatGPT / OpenAI

React 19 In-Page Shield

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.

  • Data Controls Training Opt-Out
  • 3-Line EHR/CRM Name Stitching
  • In-Place Floating Reveal Popover
Read ChatGPT Security Guide

Claude (Anthropic)

200k Context WASM Redactor

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.

  • Client-Side PDF & DOCX Parsing
  • ProseMirror DOM Selector Mapping
  • HIPAA & GDPR Safe Harbor
Read Claude AI Security Guide

Google Gemini

Human Reviewer Defense

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.

  • Gemini Apps Activity Opt-Out
  • Offline OCR Screenshot Masking
  • Google Account Isolation
Read Google Gemini Security Guide

DeepSeek AI

Cross-Border Sovereignty

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.

  • GDPR Chapter V Compliance
  • Vue In-Page Chat Shield
  • Deterministic Variable Restore
Read DeepSeek Security Guide

Perplexity AI

Confidential Search Shield

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.

  • Pro Search Broadcast Defense
  • M&A Codename Tokenization
  • 1-Click Source Re-Hydration
Read Perplexity AI Security Guide

Microsoft Copilot

M365 Oversharing Defense

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.

  • SharePoint ACL Overreach Shield
  • Local WASM Spreadsheet Redaction
  • Office Online & Edge Protection
Read Microsoft Copilot Security Guide

Cursor & AI IDEs

AI IDE & Stdio MCP Server

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.

  • .cursorignore & .cursorrules Blueprints
  • @privacyscrubber/mcp-server Stdio
  • .env & Hardcoded Secret Stripping
Read Cursor AI Security Guide

Grok (xAI)

xAI Prompt Privacy

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.

  • X Model Training Opt-Out
  • Executive Note & Handle Stripping
  • grok.com & x.com Input Shield
Read Grok (xAI) Security Guide

Universal AI Platform Protection Matrix

How PrivacyScrubber's Zero-Trust Data Sanitization engine protects your prompts, files, and code across all major AI platforms:

AI PlatformPrimary Risk VectorIn-Page DOM ShieldStdio MCP / IDEReversible DetokenizeServer Egress
ChatGPT / OpenAIModel training & React 19 contentEditable leaks0 Bytes
Claude (Anthropic)200k context PDF/DOCX leaks & ProseMirror DOM0 Bytes
Google GeminiHuman reviewer sampling & Google account linking0 Bytes
DeepSeek (R1 & V3)Cross-border GDPR liabilities & server stack traces0 Bytes
Perplexity AIPro Search third-party API broadcast & M&A leaks0 Bytes
Microsoft CopilotSharePoint ACL oversharing & Excel payroll leaks0 Bytes
Cursor & AI IDEs@codebase vector indexing & .env secret exposure—0 Bytes
Grok (xAI)X platform model training & executive memo leaks0 Bytes

Frequently Asked Questions

How does PrivacyScrubber secure different AI platforms without sending data to servers?
PrivacyScrubber operates under Zero-Trust Data Sanitization (ZTDS). All regex evaluation, entity detection, WebAssembly document parsing, and token mapping happen entirely in your local browser memory (RAM) or local IDE process. Zero cleartext prompt tokens, file contents, or personal identifiers are ever transmitted to PrivacyScrubber or third-party servers.
Can I use PrivacyScrubber across web chats, desktop apps, and AI IDEs?
Yes. PrivacyScrubber is designed for multi-plane protection: (1) Web App for copy-paste and batch file parsing; (2) Chrome & Edge Extension for real-time in-page DOM protection on chatgpt.com, claude.ai, gemini.google.com, chat.deepseek.com, perplexity.ai, copilot.microsoft.com, and grok.com; (3) Stdio MCP Server (@privacyscrubber/mcp-server) for AI IDEs like Cursor, Claude Code, Cline, and VS Code; (4) Developer SDK for local pipeline integration.
Does the Chrome Extension break rich-text editors on ChatGPT or Claude?
No. PrivacyScrubber uses platform-specific DOM selector mapping via selectors.json to bind natively to React 19 contentEditable areas on ChatGPT, ProseMirror transaction states on Claude, and Vue input handlers on DeepSeek, maintaining undo/redo stacks, cursor positions, and rich formatting without glitches or layout shifts.
How does the Stdio MCP Server protect coding environments like Cursor?
The @privacyscrubber/mcp-server runs locally as a standard input/output (stdio) JSON-RPC process on your machine. When you pass code, stack traces, or SQL schemas into Cursor or Claude Code, the MCP server strips API keys, database connection strings, JWTs, and customer PII in local RAM before the prompt is ingested into model context windows.
How do I restore original variable names and identities from tokenized AI responses?
PrivacyScrubber maintains a volatile, tab-isolated sessionMap in RAM. When an AI platform returns code or analysis containing tokens like [NAME_1] or [DATABASE_URL_1], simply click 'Reveal' in the in-page extension popover or paste the response into Reverse Scrub. Original values are restored locally in under 1 millisecond.