I’m Paul Mozaffari. Twenty-eight years building and securing enterprise infrastructure for government and private-sector clients that had to work in the real world, not just on paper. Cisco, Palo Alto, Juniper, Aruba, Fortinet, Arista. SD-WAN, VXLAN, SASE. The kind of infrastructure that isn’t allowed to be wrong.

But when I turned 50, I realised I no longer wanted to be defined by a job title. Now I’m letting go of that old identity to become more of a leader, creator, and guide. This site is where I make that shift, moving from doing the work to leading the conversation about it.

How I See the World

I think we’re at a real inflection point with AI, not a demo-stage curiosity but something that changes how organisations must think about risk, judgment, and who is accountable when a system acts on its own. The gap between “it works in the demo” and “it works safely in production” is where actual expertise lives, and most teams lack anyone who has stood in that gap. That’s the work now: translating what actually breaks into decisions leaders can make and stand behind.

Background

Computer Engineering by training. Almost thirty years in the field since enterprise network architecture and security, in government and private-sector environments where “it worked in the lab” was never enough. I’ve spent that time building and defending the infrastructure other things assume is just there.

What I’m Building Now

AI Security for Leaders is the current chapter: practitioner-grounded frameworks for leaders who govern, secure, and deploy AI systems and own what happens next. Not hype, not doom: what actually breaks in production and what to do about it. You’ll find the frameworks and field notes at /ai-security/, and the weekly brief at /newsletter/. When a leadership team needs this applied to their specific deployment, I run private AI-security briefings; the door is a LinkedIn message with the word “briefing.”

Separately and more quietly, I’ve spent real time building my own AI-augmented way of running life goals, health, family, work, all in one system I actually use. I think personal AI infrastructure like this is a precursor to a bigger shift in how people operate day to day, not a productivity trick. It’s a lab, not a product. If that changes, you’ll hear about it here first.

Values

I call it the Congruent Life: work, health, family, and meaning that don’t compete with each other. Fifteen-plus years married, two young sons, and the explicit refusal to let “busy” become the only way they experience their father. Sovereignty matters as much as income: the point of this work is to own more of my own time, not less.

Systems before discipline. Ship before overdesign. The right work, at the right time, for the right reasons.

What I Read, What I’m Learning

Frankl on meaning under constraint. Arthur Brooks on the second half of a career actually being the more interesting one. James Clear on systems over goals. Cal Newport on protecting deep work. Todd Herman on identity. Ray Dalio on radical transparency. Greg McKeown on subtraction as a strategy.

Right now I’m deep in agentic AI and LLM security architecture, and in the craft of the thing I’m doing on this site — how a senior practitioner actually becomes a recognised voice, in public, without turning into a costume.

The End of Waiting

Even after I figured out how to start, I kept putting off when to begin. I told myself I needed the perfect setup: a quiet house, energy, no interruptions. But as a senior engineer and a parent of two, that never happens. Planning for a stress-free time that wasn’t coming just meant more waiting.

This page is where the waiting finally stops.

If you would like to connect or discuss these topics further, you can find me on LinkedIn and GitHub. If you are facing AI risk challenges, please reach out; a briefing is the most direct way to engage.