Today, AI relies on data, and many organizations are treating AI systems like traditional applications. From my experience leading large AI and data modernization projects in regu ...

As AI systems grow more autonomous, observability becomes essential. Learn how visibility into AI behavior helps detect risk and strengthen secure development.

Agentic AI is changing the enterprise security model. Experts explain emerging risks, governance challenges and how leaders ...

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 ...

A holistic approach to security starting with a full review of data architecture does the best job of balancing protection with users' access needs The companies that are having the most success in ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Security is shifting both left and right in the design flow as chipmakers wrestle with how to build devices that are both secure by design and resilient enough to remain secure throughout their ...

The companies that are having the most success in advancing their data security efforts today are those that are finding a way to protect sensitive information without getting in the way of business ...