Data Governance
Data governance is the framework of policies, roles, and controls that ensure data is accurate, secure, compliant, and used responsibly. For first-party data, governance covers access control, lineage, retention, and consent, making data trustworthy enough to power AI.
Governance answers who can access what data, where each value came from, how long it is kept, and what it may be used for. It is what makes data auditable rather than a black box.
It is also one of the five properties of AI-ready data. Without governance, model outputs cannot be trusted or defended, no matter how much data feeds them.
Go deeper
5 min readWhat Does 'AI-Ready Data' Actually Mean?AI-ready data is owned, unified, accurate, consented, and governed well enough to safely power models and agents. Here is the practical standard, broken down.5 min readIs First-Party Data Compliant? What You Need to KnowFirst-party data is not automatically compliant, but it is far easier to keep compliant than third-party data. Here is what determines compliance and how to stay on the right side.
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