Gartner predicts that by 2028, 50% of organizations will have had to adopt a zero-trust posture for data governance as a ...

When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal ...

Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI ...

That in turn could hasten a decline in model quality and accuracy, and an increase in hallucinations and bias. In response to ...

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

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 ...

For today’s CISOs, the perimeter isn’t a firewall — it’s the data itself. Hybrid and multi-cloud architecture have created massive volumes of sensitive ...

Open banking, embedded finance, and AI are changing where bank data flows. Data privacy now determines how far innovation can ...

It’s a time when large datasets are being leveraged for real-time analysis. Tried-and-true approaches to cobbling together technologies and policies to achieve workable data governance and security ...

In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...