Sat, Oct 17, 2026
2:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course

Sat, Oct 17, 2026
2:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course

What you'll learn
Reconstruct the Agent’s Full Decision Path
Find the Evidence Missing From Your Logs
Separate Root Cause From the Final Error
Build an Audit Trail You Can Defend
Why this topic matters
You'll learn from
François B. Arthanas
I help you become the professional teams trust to govern AI agents.
Become the person your team turns to when an AI agent needs a risk review, clear controls, or a decision about whether it should go live.
Hi👋🏾, I'm François, founder of CyberProsAI and a Ph.D. scholar in Cyber Defense at Dakota State University. I teach governance, risk, audit, privacy, and cybersecurity professionals to turn AI governance principles into practical decisions they can explain and defend.
In my six-week live program, you will govern one realistic enterprise AI agent: assess risk, set boundaries, test controls, and design human oversight. You will leave with a reviewed portfolio of governance evidence you can build on at work. No coding required.
Start with a free lesson, join a live cohort, or bring me in to train your team.