SHADOW AI GOVERNANCE

See Every AI Tool Your Employees Use

Cursor auto-pastes .env files. LangChain agents exfiltrate customer data. Claude MCP tools expose internal servers. Monitor, block, and redact in real-time across all shadow AI tools.

Shadow AI Tools Covered

🔗 IDE Integrations

  • Cursor (auto-paste CVE)
  • GitHub Copilot
  • VS Code LLM extensions
  • JetBrains AI Assistant
  • Vim/Emacs plugins

🤖 Agent Frameworks

  • LangChain agents
  • LlamaIndex retrieval
  • Crew AI multi-agent
  • AutoGPT
  • Custom agentic loops

⚙️ Advanced Features

  • Claude MCP tools (8000+)
  • Function calling exploits
  • RAG document upload
  • Database connections
  • API integrations

Blocking stops employees from using AI tools entirely, reducing productivity. Anonymizing lets them use AI tools freely while PII is automatically replaced before submission. anonym.legal takes the anonymize-first approach — protecting data without blocking workflows.

Yes. The Chrome Extension anonymizes PII in real-time before it reaches ChatGPT, Claude, Gemini, Copilot, or DeepSeek. Employees work normally — the extension handles privacy silently in the background.

Yes. Integration with Splunk, Elastic, and custom webhooks for security event logging. Every anonymization event generates a structured audit log for SOC teams.

Real Incidents Prevented

Case 1: Cursor .env Leak

Developer opens project in Cursor. IDE auto-pastes entire .env file (AWS keys, DB creds) into Claude context. Our browser DLP blocks paste.

Risk averted: $500K+ in compromised infrastructure

Case 2: LangChain Agent Data Loop

Agent queries internal database, processes 10K customer records, iteratively refines results in ChatGPT for "accuracy check". Our MDM policy blocks database connection.

Risk averted: GDPR fine €20M+ / breach notification

Case 3: MCP Tool Enumeration

Employee runs Claude with MCP enabled. Curious user enumerates all 8000+ company MCP tools. Our MCP connector requires zero-knowledge auth + audit log.

Risk averted: complete internal network reconnaissance

Case 4: RAG Document Upload

Employee uploads customer contract (with SSN, address, payment info) into ChatGPT's "Analyze This Document" feature. Our tool intercepts file upload.

Risk averted: PII in OpenAI training data + state AG investigation

Governance Framework

Discovery Phase

  • Scan network for shadow AI tools
  • Identify installed extensions/plugins
  • Log unapproved LLM API endpoints
  • Map data flows to LLM services
  • Risk score per tool/user

Control Phase

  • Force browser redaction (Chrome Ext)
  • Block unapproved tools via firewall
  • Whitelist approved AI (e.g., internal Claude)
  • Enforce data classification tags
  • Require approval for new tools

See Enterprise DLP In Action

Watch how anonym.legal protects corporate data from AI leakage

Govern Your Shadow AI Landscape

Monitor, control, and redact across all LLM usage. Prevent data exfiltration before it starts.

Schedule Assessment

Frequently Asked Questions

An AI AUP defines which AI tools employees may use, what data categories are prohibited from AI input, and what anonymization requirements apply. anonym.legal enforces AUP compliance automatically via browser DLP — no manual training or compliance checks needed.

Deploy the Chrome Extension organization-wide via MDM. It logs all PII detection events (what was found, what was anonymized) without storing the actual data. SIEM integration (Splunk, Elastic, Datadog) provides centralized dashboards and alerts.

OWASP LLM01 (Prompt Injection) is addressed at the input layer — anonym.legal detects and anonymizes PII before it reaches the LLM. For output-side risks, the MCP Server sanitizes AI responses before they reach downstream applications.