Accepting risk and planning for it are two different decisions when it comes to agentic AI.

​Every wave of technology change ends up rewarding whoever controls the durable relationship rather than whoever shipped the cleverest feature that quarter.

AI governance tells you whether your AI is fair, accountable and compliant. Agent security tells you whether your AI agent can be weaponized against you.

Here are eight capabilities that help determine whether your defenses hold when something goes wrong.

Great candidates want ambition, but they also want to know that the people running the company understand the economics behind it.​

The units I served with didn’t need a perfect network. They needed one that worked when everything else was going wrong.

Even a well-designed interface can feel unexpectedly frustrating when it asks us to abandon years of learned behavior.

When leaders see AI as a teammate rather than a tool, they can unlock new ways of working, defined by shared learning, continuous improvement and collective intelligence.

Bad actors are no longer waiting until after an account exists. They are entering through the talent process itself.

An agent needs something concrete to reason against, not just a dashboard to watch.