Control Implementation
View control requirements, implementation steps, and evidence.
View control requirements, implementation steps, and evidence.
Integrate risk management activities into each phase of the AI system lifecycle to ensure risks are identified, assessed, and managed at appropriate points, maintaining risk traceability from design through decommissioning.
Integrate risk management activities into each phase of the AI system lifecycle to ensure risks are identified, assessed, and managed at appropriate points, maintaining risk traceability from design through decommissioning.
Control Type
preventive control - Designed to prevent issues before they occur
Review Frequency
Per lifecycle phase, continuous
Risk Level
high - Important for compliance, requires prompt attention
Refer to the source standard for detailed implementation steps, evidence requirements, and success criteria.
AI Risk Management Standard →POL-AI-001
AI Governance Policy
View policy for full requirements mapping.