The widespread adoption of artificial intelligence (AI) has not only entailed changes in the way organizations create, consume, and organize data, more critically, it has presented new risks that many organizations are not yet fully equipped to handle...

In many organizations, IT, data, and security still operate in silos—each with its own tools, KPIs, budgets, and leadership. That structure may have worked in a slower, less connected world...

For years, enterprise IT operated under a simple assumption: More tools = more capability = more control. This belief gave rise to sprawling technology stacks—layer upon layer of systems deployed in the name of productivity, performance, and visibility. But today, that model is breaking down. What was once built for control is now a source of inefficiency. Redundant platforms. Bloated costs. Tools that don’t talk to each other. Systems that deliver complexity instead of clarity...