Domain 4: Development and Implementation Governance
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4.1AI Lifecycle and Asset Management
4.2AI Security Architecture and Design Controls
- Secure-by-design AI architecture
- ADG surfaces as security boundaries
- Version control for code, models, prompts
- Access control and encryption for AI
- Securing AI APIs and network paths
- Hardening models against adversarial ML
- Guardrails and the safety layer
- Agent, tool and MCP security
- AI vulnerability management and red teaming
- AI runtime monitoring and detection
4.3Privacy, Trust, Safety, and Ethical Controls
- Privacy by design for AI systems
- Differential privacy and federated learning
- Anonymization vs pseudonymization
- Trustworthiness trade-offs in practice
- Safety controls and human oversight
- Transparency duties to AI users
- Explainability for affected people
- Ethics review and AI audits
- Continuous trust monitoring