Foreword
I came to artificial intelligence and the technology sector from national security. I spent years working inside systems where authority and consequence were explicit. Decisions had owners, actions had limits, and failure modes were examined before systems were deployed.
Now, leading a global team focused on ensuring AI and agents are deployed responsibly and ethically for thousands of organizations, my background shapes how I see the current moment. We are moving past the era of using software merely as a tool and entering a time where we delegate work to software as an actor.
This shift to AI agents presents a massive opportunity for productivity and scale, but it also creates new responsibilities for enterprise leaders. These systems do more than generate content. They monitor environments, interpret signals, plan actions, and execute them within defined parameters. In national security environments, this kind of delegated authority is familiar territory. Operational systems are designed with explicit chains of command, predefined rules of engagement, and clear accountability structures.
In the private sector, the picture is more varied. Many industries have long managed delegated authority in software systems, from connected vehicles to automated trading platforms and industrial control systems. In those environments, governance models already exist for managing safety, reliability, and operational risk.
What is new is the breadth and accessibility of AI agents. ...
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