AI Data Leak Prevention
32% of all data exfiltration now happens through AI tools. Stop sensitive data from reaching ChatGPT, Claude, Copilot, and other GenAI platforms with real-time anonymization.
Why AI Data Leak Prevention is Critical
AI tools like ChatGPT, Claude, and Copilot have transformed how we work. But they've also created a massive new attack surface. According to LayerX's 2025 research, AI is now the #1 data exfiltration vector, surpassing traditional channels like email and USB drives.
Real-World AI Data Breaches (2025)
- Chrome Extension Breach: 900,000 users had their AI conversations stolen via malicious browser extension (Dec 2025)
- Urban VPN Breach: 8 million users' AI data harvested through VPN service (2025)
- Average breach cost: $4.88 million (IBM 2024), with AI-related breaches trending higher
Complete AI Data Leak Prevention
Multiple layers of protection for all AI touchpoints
Chrome Extension
Real-time protection for ChatGPT, Claude, Gemini. Auto-detect and anonymize PII before it's sent.
Learn moreMCP Server
Integrate with Cursor, Windsurf, and other MCP-compatible AI coding tools. Protect your codebase.
Learn moreDesktop App
Process files locally before sharing with AI. Batch anonymization for documents, spreadsheets, and more.
Learn moreREST API
Build AI leak prevention into your applications. Protect data pipelines and automated workflows.
Learn moreAI Leak Prevention Capabilities
285+ Entity Types
Detect names, SSNs, credit cards, API keys, medical records, and 250+ more PII categories that could leak through AI.
48 Languages
Global coverage for multinational teams. Detect PII in English, German, French, Spanish, Chinese, Japanese, and 42 more.
Reversible Encryption
AES-256-GCM encryption lets you restore original values when needed. Maintain data utility while preventing leaks.
Zero-Knowledge
Encryption keys never leave your control. We can't access your data even if compelled. True zero-knowledge architecture.
EU Data Residency
100% German infrastructure on Hetzner. No AWS, Azure, or GCP. No US Cloud Act exposure. Full GDPR compliance.
Enterprise Ready
Deploy org-wide with managed policies. Team management, usage analytics, and centralized key management.
30-Day Implementation Roadmap
Days 1-7: Assessment
Audit current AI tool usage. Identify high-risk teams and data flows. Deploy Chrome Extension to pilot group.
Days 8-14: Policy
Draft AI acceptable use policy. Configure detection rules for your sensitive data types. Set up team management.
Days 15-21: Rollout
Deploy to all teams. Conduct employee training. Configure MCP Server for development teams.
Days 22-30: Optimize
Review detection accuracy. Refine policies based on feedback. Set up ongoing monitoring and reporting.
Related Resources
AI is Now the #1 Data Exfiltration Vector
LayerX 2025 research shows 77% of employees paste sensitive data into AI.
AI Data Leakage Prevention Guide
18-page guide with policy templates, risk assessment, and implementation roadmap.
Secure AI Usage with MCP Server
Step-by-step guide to setting up the MCP Server for Cursor and Windsurf.
Stop AI Data Leaks Before They Happen
200 free tokens to get started. No credit card required. Deploy Chrome Extension in minutes.