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 ...

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 ...

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 ...