Data is one of organizations' most potent assets in an era of growing competition and artificial intelligence (AI) mandates. However, effectively managing and using it requires balancing strict ...

For a long time, companies believed data sovereignty simply meant where their data resided, but amid geopolitical shifts and ...

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

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 ...

There’s a popular concept that frames control as three concentric circles. At the center is the circle of control (where everyone wants to be). Surrounding it is the circle of influence, where one has ...

David Littler from enChoice UK discusses the AI governance in the public sector, focusing on bridging the gap between its ...

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

The BFSI industry is a highly regulated sector wherein companies need strong data controls to comply with stringent standards ...

CU Boulder collects, uses and maintains a significant amount of data. This includes, but is not limited to student, employee, research and finance data. Institutional data supports CU Boulder’s ...

Explore how effective governance in AI programmes hinges on engineering evidence, control, and accountability at scale for ...

As artificial intelligence continues to reshape manufacturing and product design, its potential for accelerating innovation and improving user experiences is undeniable. Generative AI, in particular, ...

As part of our Accountability in 2025 focus, TC’s Cybersecurity, Privacy and Data Governance team is examining how a recent whistleblower suit against Meta is ...