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

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 ...

As AI adoption accelerates, security often lags behind. Tech leaders share practical steps to close the AI exposure gap ...

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 ...

Introduction: The Silent Expansion of Generative AI in Business Generative Artificial Intelligence has rapidly moved from ...

CISOs know precisely where their AI nightmare unfolds fastest. It's inference, the vulnerable stage where live models meet real-world data, leaving enterprises exposed to prompt injection, data leaks, ...

IBM has plans to integrate its watsonx.governance and Guardium AI Security offerings to help organizations integrate artificial intelligence (AI) into their daily operations and to get security and ...

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 ...

IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of technology and ...

Standard Chartered (SC) is navigating the complexities of artificial intelligence (AI) adoption by grounding its strategy in well-governed, outcome-focused data, according to its group chief data ...