A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

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

In today’s digital world, personal data is scattered across various platforms, often stored in centralized databases that expose users to security vulnerabilities and privacy risks. HaloHarbor ...

Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

CFOs are increasingly being called upon to look beyond balance sheets and profit margins. Their role now extends into the realms of risk management, compliance, and operational governance. And at the ...