cloak.business

Browser to IDE: Full-Stack PII Protection

Why single-point solutions leave gaps and how unified protection ensures consistency.

February 12, 20267 index.readingTime

The Multi-Surface Problem

PII does not stay in one place. It flows through web browsers (ChatGPT, Claude, Gemini), developer tools (Cursor, VS Code, Claude Code), Office applications (Word, Excel, PowerPoint), document workflows (PDF processing, batch operations), and API integrations (automated pipelines).

Single-point solutions protect one surface while others remain exposed.

The Attack Surface

Browser AI

77% of employees share sensitive data with AI tools like ChatGPT. AI has become the #1 channel for data exfiltration, accounting for 32% of all incidents.

Developer Tools

AI coding assistants process code containing API keys, database credentials, and customer PII. Security research found 24 CVEs across major AI IDEs.

Office Documents

Legal contracts, HR files, and financial reports contain concentrated PII. Copy-pasting from Word to ChatGPT bypasses any network-level DLP.

Batch Processing

FOIA requests, e-discovery, and regulatory submissions require processing thousands of documents. Manual review cannot maintain consistency.

Single-Point Solution Limitations

Browser Extensions (Only)

  • Cannot see IDE usage
  • Cannot protect document workflows
  • No batch processing capability

Network DLP (Only)

  • Cannot inspect HTTPS content in most cases
  • Blind to personal account usage
  • Blocking approach disrupts workflow

The Full-Stack Approach

cloak.business covers every interaction point:

SurfaceSolutionHow It Works
Browser AIChrome ExtensionIntercepts prompts before submission
Developer AIMCP ServerIntegrates with Cursor, Claude Code
Office DocumentsOffice Add-inAnonymizes within Word/Excel
Batch ProcessingWeb App1-5,000 files per batch
Automated PipelinesREST APIProgrammatic integration
Air-GappedDesktop AppFull offline processing

Same Engine Everywhere

All platforms use the same:

  • 317 pattern recognizers
  • 48 language models
  • 5 anonymization methods
  • Confidence scoring
  • Audit logging

No inconsistency between surfaces. What is detected in the browser is detected in the IDE is detected in batch processing.

Key Takeaways

  • PII flows across multiple surfaces - Single-point solutions leave gaps
  • Consistency requires unified engine - Different tools detect differently
  • All surfaces need protection - Browser, IDE, Office, batch, API
  • Full-stack reduces vendor complexity - One solution vs. many
  • Deployment can be incremental - Start with highest risk, expand

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