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 ...

AI is changing private markets, as it won’t excuse weak data but amplify it. If the underlying data is inconsistent, poorly ...

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 ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view centered on data.

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 ...

When artificial intelligence fails, it rarely does so because of flawed algorithms. The real fault line lies upstream, in ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

Big AI models break when the cloud goes down; small, specialized agents keep working locally, protecting data, reducing costs ...

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 ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape. Organizations are grappling with growing c ...