Board members and senior executives are reassessing data governance and risk management at the enterprise level, citing five practices that increase AI’s effectiveness, ...

Data governance (DG) is a component of data management that focuses on managing access, use, quality and security of enterprise data. Data management in a data governance program is based on internal ...

Data governance is how an organization builds the foundation for everything it wants AI to do. That foundation must belong to ...

Kiteworks Compliant AI and Secure MCP Server bring zero-trust governance to AI agents to meet SOX, GLBA, SEC, FINRA, ...

School districts collect vast amounts and varieties of data, from student performance and attendance to staff information and operational systems. Ideally, this data can enable informed ...

As enterprise adoption of AI grows, so do data governance challenges. How do you scale data governance frameworks that aren't just compliant, but also adaptive, efficient, and trusted across the ...

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

Whether implementing self-service dashboards, developing reporting processes to meet regulatory compliance, or defining BI strategy, one common challenge seems to arise: governance. When evaluating ...

Mimecast’s governance platform will bring enterprise AI conversations into the same search, archive, and legal hold infrastructure as email and collaboration platforms ...

As tools like generative AI become increasingly mainstream, the quality and accessibility of enterprise data has become more important than ever before. Many organizations are rethinking their data ...