As demand for sovereignty and resilience grows, the question is how Europe can build a more balanced and independent cloud ecosystem.

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

It’s been close to a decade since Amazon Web Services (AWS), Amazon’s cloud computing division, announced SageMaker, its platform to create, train, and deploy AI models. While in previous years AWS ...

Web2’s data monopolies lock users into centralized systems, limiting control over personal information and hindering competition. This decentralized AI personalization protocol offers an alternative.

Google's data collection can be a double-edged sword: helpful in some instances and too invasive in others. Here's how to ...

The 2026 Microsoft Data Security Index explores one of the most pressing questions facing organizations today: How can we ...

We've seen this repeated over and over: AI models are only as good as the data they’re trained on. The secret sauce is training your model on your proprietary data while ensuring that your data ...

Unified data control startup Securiti Inc. today announced the release of Gencore AI, a new solution that can easily and quickly build safe, enterprise-grade generative artificial intelligence systems ...

Organizations are shifting to hybrid cloud and on-prem IT infrastructure for more control over data. This trend is driven by data privacy, security concerns, and AI's growing influence. This article ...

Google is quietly giving advertisers more granular control over how data flows when consent is limited. Driving the news. A new feature called Data Transmission Control is appearing in Google Ads, ...