In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

In today’s paced tech-driven world the importance of data governance has never been more crucial. As data volumes soar and data ecosystems become intricate organizations must create frameworks to ...

In the ever-evolving AI landscape, the challenge of unifying AI and data integration is more critical than ever. This process, in my experience, can be incredibly complex due to the nature of ...

Every day, our digital interaction leaves a trail of sensitive information. As many organizations now rely on cloud services and digital platforms, the volume of data—and, with it, the associated ...

How can enterprises secure and manage the expanding ecosystem of AI applications that touch sensitive business data? Start with a governance framework. From automating workflows to unlocking new ...

Boost your organization's potential with comprehensive data governance, from C-suite support to data quality assurance, retention rules and more. As critical as data is for organizations to flourish ...

Rehan Jalil is CEO of cybersecurity and data protection infrastructure firm SECURITI and ex-head of Symantec’s cloud security division. AI and the use of enterprise data with AI is at the heart of the ...

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance. Image: Friends Stock/Adobe Stock The goal of data governance is to ...

Frameworks such as the NIST AI RMF and ISO 42001 create the foundation for effective AI governance, while quantification ...