AAISM: Advanced in AI Security Management

AI data governance requires documented data sourcing, traceability of data through its lifecycle, and validation that data is suitable and of adequate quality. These controls support accountable use of internal and third-party data, reproducibility, and ongoing AI risk management. NIST’s AI Risk Management Framework calls for documentation of data collection and selection considerations, including availability, representativeness, and suitability.