Behind every AI system are data centers, which are massive physical facilities whose environmental footprint is now substantive enough to provoke political conflict, public resistance and regulatory ...

Many US companies still resist recognizing data governance and structured management as a value center, but the regulatory ...

As regulatory expectations rise and supply chains become more complex, businesses are under increasing pressure to identify, prevent and address human rights risks with greater speed and clarity.

As artificial intelligence increasingly plays a role in the regulation of banks and other financial services firms, ...

If your prompts influence policy, finance or patient care but live in chat threads, you don’t have innovation — you have unmanaged risk.

Silent schema drift is a common source of failure. When fields change meaning without traceability, explanations become ...

New Microsoft Cyber Pulse report outlines why organizations should observe, govern, and secure their AI transformation to ...

India has released its first comprehensive AI governance guidelines, opting for a principle-based framework backed by existing laws and new oversight bodies to balance innovation with safeguards ...

Enterprises are not short on AI ambition. What they lack is a governance model that keeps pace with how AI is actually being adopted.

Explore the rise of AI GRC as a strategic imperative for organizations, offering a comprehensive framework to manage AI risks ...

Think about sustainability as a product in itself, urges Pure Storage’s legal and corporate sustainability leader, Niki ...

How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.