FS AI RMF Gap Assessment
Data Governance
Controls for data quality, lineage, privacy, and vendor data management aligned to NIST AI RMF MAP and MEASURE functions.
Data Lineage Tracking
Automated tracking of data provenance from source through model training and inference pipelines.
Data Quality Controls
Validation rules, anomaly detection, and quality scoring for AI training and input data.
PII Handling & Privacy
De-identification, encryption, and consent management for personally identifiable information used in AI systems.
Bias Detection in Data
Statistical testing and monitoring for demographic and selection bias in training datasets.
Data Retention Policies
Defined retention schedules and automated purging for AI training data and model artifacts.
Vendor Data Agreements
Contractual controls for third-party data usage, licensing, and liability in AI contexts.