Pressure-testing a tech trend before allocating funds can help leaders determine whether it addresses a real, durable need or simply introduces more complexity.

Data security was designed to answer one question: who can read what. It was never built to define what agents can do, or under what conditions.

My take is that AI can probably do some part of your job very well. But there are other parts that humans will always be able to do better.

Organizations are communicating more than ever, but executing less effectively.

Every new integration expands the enterprise’s attack surface, and every MCP server becomes part of the organization’s software supply chain.​

A better score does not always mean a better product.

With AI hacking becoming more severe and urgent, there are steps you can take to mitigate your exposure.

In a regulated industry, the value of an AI agent isn’t based primarily on what the model can do, but on how the company sets the boundary lines.

Edge AI cannot operate everywhere if connectivity cannot reach everywhere.

A startup should operate like an Olympic team that’s united by a mission, committed to excellence and built to win.