Control Matrix for AI-Assisted Development
AI Governance Framework
Overview
The AI Agentic Governance Framework establishes controls for AI coding assistants operating within highly regulated environments handling personal, confidential, and restricted data. It provides a unified control matrix mapping organizational guardrails to eight international AI security frameworks and standards.
Applicable Tools
- Claude Code
- GitHub Copilot
- Cursor
- Amazon Q Developer
- Codeium
Framework Alignment
All controls are mapped against:
| Framework | Focus |
|---|---|
| NIST AI RMF 1.0 | Risk management process |
| ISO/IEC 42001:2023 | Certifiable AI management system |
| Google SAIF | Security architecture |
| CSA AI Controls | Auditable control catalog |
| MITRE ATLAS | Adversarial threat intelligence |
| OWASP LLM Top 10 | Vulnerability checklist |
| OWASP AI Exchange | Implementation encyclopedia |
| OWASP Agentic Security | Autonomous AI risks |
Core Principles
- Privacy-by-design and data minimization in all AI interactions
- Zero-trust posture: AI tools treated as external, untrusted services
- Human oversight mandatory for all actions affecting production systems
- Defense-in-depth: layered controls from input to output to audit
- Shared responsibility: clear accountability boundaries between all parties
Documentation
Data Classification Model
The framework uses a 4-tier classification:
| Tier | Level | AI Usage |
|---|---|---|
| 1 | Public | AI tools may be used freely with standard precautions |
| 2 | Internal | AI tools permitted with DLP scanning enabled |
| 3 | Confidential | Approval required, PII redaction mandatory, enhanced controls |
| 4 | Restricted | AI tools must NOT be used |