Free Lesson

Make the Call: Approve or Reject an AI Agent for Production

Part of The AI Evaluation Handbook

Hosted by François B. Arthanas

Sat, Aug 1, 2026

3:00 PM UTC (1 hour 30 minutes)

Virtual (Zoom)

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Agentic AI Governance Practitioner
François B. Arthanas
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What you'll learn

Make a structured go/no-go call

Pick from five real verdicts approve, pilot, conditionally approve, delay, reject and attach the conditions to each.

Spot what actually sinks agents

Catch the real killers before launch: PII leakage, prompt injection, wrong tool calls, and actions beyond authority.

Defend your decision under fire

Answer what a board really asks "What did you test? Who owns this? What triggers shutdown?" with evidence.

Separate residual risk from a dealbreaker

Know when risk is acceptable with controls versus when it should stop a deployment cold and say which.

Walk away with a reusable decision frame

Leave with a one-page Go/No-Go structure five verdicts, launch conditions, and rollback triggers.

Why this topic matters

Three out of four organizations plan to put AI agents into production within two years. Roughly one in five has a mature way to govern them. That means the person who can look at an agent and say "here's what it does, here's what can go wrong, here's the evidence, here's what leadership should decide" is about to be one of the most valuable people in the room.

You'll learn from

François B. Arthanas

Agentic AI Governance Practitioner | Ph.D. Candidate, CISSP, CISA, AAIA™, CDPSE

François B. Arthanas is the Founder of Cyber Pros Training and an Agentic AI Governance practitioner focused on helping professionals govern, test, monitor, and prove trust in enterprise AI agents.

He is a Ph.D. Candidate at Dakota State University and holds CISSP, CISA, AAIA™, CDPSE & SecX.

His work focuses on one of the biggest problems enterprises now face: how to govern AI agents that can access data, use tools, trigger workflows, interact with users, and create business risk before a human ever reviews the output.

In this course, François teaches students how to move beyond AI policy and build the artifacts organization need before AI agents go live: risk assessments, control maps, privacy and security evidence, adversarial test plans, monitoring plans and incident workflows.

Previously at

Centene
ISACA
Western Governors University
Trenton Health Team
Cyber Pros Training
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