The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

As the country moves into the latter half of the decade, organisations must rethink data governance models and deliberately build trust architectures grounded in transparency, ...

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

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 ...

Microsoft Corp. today unveiled a major expansion of its artificial intelligence security and governance offerings with the introduction of new capabilities designed to secure the emerging “agentic ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...

Data Governance at ESF facilitates cross-unit collaboration to improve institutional data infrastructure and to ensure data integrity, security, and accessibility by establishing a set of data ...

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 ...

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 ...

WEF 2026 report: 87% of executives identify AI vulnerabilities as fastest-growing cyber risk. Data leaks now outweigh ...

Cyber threats are evolving by the minute. Attackers often adopt new methods in order to circumvent the new defenses. Public authorities should be taking the time to revise security protocols regularly ...