Technology has been part of my life since I was young, and I have never lost the excitement of seeing what it can do. My career followed that instinct: infrastructure engineering first, then security architecture, then leading security for a large enterprise. Spend long enough on the defending side, though, and you see the same thing over and over. The technology usually does what it was built to do. What decides the outcome is a person in a hurry, a message that looked right, or a secure route so awkward that someone found a way round it.
Security careers are mostly built through technology or through process, and neither teaches you much about why people do what they do. So I went looking elsewhere, in behavioural science, cyber psychology and cultural anthropology, and I have spent the years since turning what I found into something a practitioner can pick up on a Monday morning and use. That is what CyBehave is for. Small changes in behaviour add up, and given time they become a culture that people take home with them at the end of the day.
My work runs on two tracks that feed each other. CyBehave is where the thinking happens: the research at the front of the field, the guidance practitioners actually use, a point of view on where the industry should be heading, and HEROES by CyBehave, the platform that turns the research into a working product. Capita is where that thinking meets a large, complex business. There I lead security strategy and culture across the group, and my job is to put the CyBehave research to work: to make security something the workforce carries with them rather than something done to them, and to move security decisions left, to the people deciding what the business does and the people doing it. Each side keeps the other honest. The research tells Capita what to try, and Capita tells the research what survives contact with a real organisation.
Alongside both I am a doctoral researcher at the University of Hertfordshire. I have built and led Security Champions networks of various sizes, in organisations from private enterprises through to public sector departments, and my research maps how influence travels through those networks and where it gets stuck. Security culture can be measured once you know what to look at.
More recently the same questions have followed me into AI. Agents that act on their own behalf pick up habits, copy each other and drift, and governing that is a behavioural problem as much as a technical one. My latest papers are about exactly that, and the newest pair asks whether what we know about human social influence holds in populations of AI agents, then puts it to the test. I hold one firm view through all of it: technology should enable people, not stand in for them.