Data Governance
Policies and controls for data quality, access, retention, and lifecycle.
Data governance is the framework of policies and controls that determines who can access data, how it is classified, how long it is retained, and how it moves through its lifecycle. In AI contexts, governance extends to training-data provenance and keeping datasets free of prohibited content before they feed a model. On the AIF-C01 exam, it connects to Amazon Macie for automated sensitive-data discovery in S3 and to AWS Lake Formation for fine-grained access controls on data lakes. The key distinction: governance sets the rules, while data lineage tracks how data actually flowed.
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