Advanced: AI-Enhanced Assessment

Optional Forward-Thinking Capability

The SecAI Framework works completely without AI using VSCode and scripts.

However, for organizations with security approval for AI-assisted development, the framework can be enhanced with:

Cursor IDE + Azure AI Foundry Integration

Why This May Be Restricted

Many customer environments:

  • Prohibit AI coding assistants (security policy)
  • Restrict external API calls (network isolation)
  • Require all analysis to be human-driven (compliance)

If your environment restricts AI tools: Use VSCode + scripts (Dimensions 1-3 fully functional)

If your environment allows AI tools: Consider Cursor + Azure AI Foundry for:

  • AI-assisted script development
  • Data analysis acceleration
  • Insight generation from large datasets
  • All chat stays in your Azure tenant (data sovereignty)

Cursor Setup Guide
Azure AI Foundry Integration

Data Sovereignty Architecture

When AI enhancement is approved and deployed:

graph LR
    A[Security Analyst] -->|Uses| B[Cursor IDE]
    B -->|Chat API| C[Azure Private Endpoint]
    C -->|VNet| D[Azure AI Foundry]
    D -->|Models| E[GPT-4, o1, Codex]
    D -->|Logs| F[Azure Monitor]
    
    style D fill:#0066cc,stroke:#003d7a,color:#fff
    style B fill:#7c3aed,stroke:#5b21b6,color:#fff

All chat interactions remain within your Azure tenant. No data sent to Cursor servers or OpenAI public endpoints.

Benefits of AI Enhancement

Script Development

  • AI-assisted PowerShell/Python code generation
  • Error debugging and troubleshooting
  • Documentation generation

Data Analysis

  • AI-powered analysis of 800+ JSON evidence files
  • Pattern recognition across large datasets
  • Insight generation from compliance scores

Report Generation

  • AI-assisted executive summary creation
  • Remediation recommendation generation
  • Risk prioritization assistance

Security Considerations

Data Sovereignty

✅ All AI processing stays within your Azure tenant
✅ No data sent to Cursor’s servers
✅ No data sent to OpenAI public endpoints
✅ Complete control over data residency

Compliance

✅ All AI interactions logged via Azure Monitor
✅ Audit trail for all API calls
✅ RBAC controls on AI service access
✅ Private endpoint network isolation

Cost Management

✅ Predictable pricing based on token usage
✅ Budget alerts and quota limits
✅ Cost allocation by user/team
✅ Model selection optimization

Setup Process

If your organization approves AI-enhanced assessment:

  1. Deploy Azure AI Foundry
    • Select appropriate Azure region
    • Deploy GPT-4 or o1 model
    • Configure private endpoints
    • Set up RBAC permissions
  2. Configure Cursor IDE
    • Install Cursor Enterprise
    • Enable Privacy Mode
    • Configure Azure OpenAI endpoint
    • Test connectivity
  3. Validate Security
    • Verify private endpoint routing
    • Check audit logs in Azure Monitor
    • Confirm no external API calls
    • Test RBAC restrictions

Detailed Setup Guide

Alternative: Assessment Without AI

The SecAI Framework is fully functional without AI enhancement:

  • ✅ All collection scripts work in VSCode
  • ✅ All validation modules run standalone
  • ✅ Python analysis scripts don’t require AI
  • ✅ Excel templates work with CSV imports
  • ✅ Manual report generation is comprehensive

AI is optional, not required.

Last Updated: October 18, 2025
Status: Optional Enhancement

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