AI security that survives operational reality
I’m Paul Mozaffari. Twenty-eight years building and securing enterprise infrastructure — government and private sector — and now I work in the gap between “AI works in the demo” and “AI works safely in production.”
Most AI security programs are written for the demo. Then an agent acts alone at 2am, the audit trail can’t reconstruct why, and the leader who signed off owns the outcome. The frameworks that pass architecture review are rarely the ones that survive a change window — and the people who know the difference are almost never in the room when the sign-off happens.
That gap is the work: translation. Making LLM security, agentic threats, and governance that holds under operational pressure make sense to the people who carry the liability. The frameworks are named, tested against production, and public — start with The Reversibility Test or the $100M post-mortem.
Three ways in:
- Read the AI Security collection — frameworks, case studies, and field notes for the people who own the decision.
- Get the Weekly Intelligence Brief — one email a week: judgment, not information.
- Book a briefing — a private working session on your specific deployment, with production-scarred eyes. Message me on LinkedIn and mention “briefing.”
The rest of this garden is the thinking underneath the work: attention, energy, identity, and keeping the work congruent with a real life. Same discipline, applied to being human.