AI Governance 

AI Agent Governance: A Working Session

Temi Odesanya

Responsible AI Leader

Ola Ajayi

AI Governance & Privacy Leader

Precious Erugo

Lawyer & AI, Product Compliance Leader

Build a practical governance structure for AI agents, e.g policies, permissions, tools, data boundaries, and escalation

Define an agent governance framework

Assess agent risks across data, privacy, security, safety, reliability, accountability, operational impact etc

Create an AI Agent Risk-tier Framework

Translate governance requirements into an approved operating envelope: what the agent can access, decide, recommend

Translate governance requirements into an operating model

Watch a real agent get tiered and governed in real time: implement technical controls across the lifecycle

Govern a live Agent with your framework

Walk away with a framework you can apply to your own agent: risk-tiered, boundary-mapped, control-aligned, and ready

Leave with a reusable agent governance blueprint

By the end of this course, you will take one AI agent from discovery to an evidence-backed governance decision.

August 2026 Cohort

Ph.D. Scholar, CISSP, CISA, AAIA™, CDPSE

Cyber Pros Training

Centene

ISACA

Trenton Health Team

Western Governors University

François B. Arthanas

Founder of CyberProsAI | Agentic AI Governance Advisor | CISSP, CISA, AAIA™

For professionals who need to govern, secure, test, monitor & prove trust in enterprise AI agents.

Founding Cohort 

September 2026 Cohort 

🚨 Save $500 with code CYB500 applied automatically:September Day Cohort → <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/cyberpros/agentic-ai-governance/3/join?promoCode=CYB500">Enroll here</a> · code expires Aug 31October Night Cohort → <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/cyberpros/agentic-ai-governance/4/join?promoCode=CYB500">Enroll here</a> · code expires Oct 10A chatbot that fails gives a wrong answer. An AI agent that fails takes a wrong action it approves the refund, emails the customer, and updates the CRM before any human looks.That's what you are being asked to govern, with controls built for software that never acts on its own.In this live 8-week cohort for GRC, risk, audit, privacy, and cybersecurity professionals. 16 live sessions. 10+ hands-on labs. You will govern SupportFlow, a working refund agent that reads records, drafts replies, and moves money and leave with a complete governance portfolio: registry, threat model, test results, decision memo that you can defend live.Built on <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.aiuc-1.com/">AIUC-1</a> (<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.aiuc-1.com/">https://www.aiuc-1.com/</a>). Mapped to NIST AI RMF, ISO/IEC 42001, the EU AI Act, the OWASP Agentic Top 10, MITRE ATLAS, and CSA MAESTRO.<h3>16 live sessions · 10+ hands-on labs · Rated 5.0 by students </h3><blockquote>Take one AI agent from discovery to an evidence-backed governance decision.</blockquote>

Everyone builds AI agents. Few can GOVERN what they do. Become the one who can.

Find and register every AI agent in your company

Set what an agent may do and prove where it must stop

Threat-model and red-team an agent like an attacker

Prove the agent is safe and reliable before it ships

Keep humans in command once the agent is live

Apply Everything in a Real-World Capstone Project

A willingness to learn how to Govern AI Agents. Basic familiarity with GRC, cybersecurity, audit, privacy or risk work would be nice to have

The Only Prerequisite

Session 1 covers how LLMs and agents actually work, in plain language. You build the AI foundation in week 1 - skepticism welcome

No AI/ML and Coding Background Required

GRC, risk, and AI governance leads told to “Own AI Governance” as agents enter scope you need an operating model, not another policy

Cybersecurity architects and engineers asked to sign off on agents that touch identity, credentials, MCP servers, and production systems

Auditors, privacy pros, and DPOs and anyone who knows agents are coming and wants to be the person trusted to evaluate them

Your agents are already acting. Govern what they do, who is accountable, and how to prove it when something goes wrong.

AI Governance Advisor | Founder, INTLDA

Pfizer

Accenture

Cornell University

S&P Global

Uvika Sharma

Founder, INTLDA | AI Strategist, Governance Advisor | Educator | Keynote Speaker

AI Governance Auditor | AIGP | ISO 42001

Deloitte

Wells Fargo

Evan Benjamin

AI Governance Advisor, INTLDA | AIGP | ISO 42001 Auditor | Algorithmic Auditor

Cohort 1

Build the governance system your organization needs before your next board meeting, your next regulator, or your next incident.AI agents are not coming. They are already inside your organization, making decisions about customers, vendors, employees, and compliance without a human in the loop.Most leaders know this. What they do not have is a governance system built for it. The frameworks organizations rely on were designed for AI that assists. Agentic AI acts. That is a different problem, and it needs a different answer.This course is that answer.Over four weeks, you will work through GUIDED, INTLDA's proprietary framework for governing agentic AI. Six actions. One governance system. Built by you, for your organization, during the course. You will not leave with a certificate and a folder of notes. You will leave with six governance artifacts you can use the week after each session ends.Learn from trusted advisors Uvika Sharma and Evan Benjamin. Together they teach governance as a practice, not a subject. What you build in this course is the beginning of a real governance program, not a hypothetical.

Your AI agents are already acting. Nobody defined what they are allowed to do.

Know what agents are running right now

Define what each agent can and cannot do

Name who is accountable for agent harm

Build an audit trail regulators can read

Build your 90-day governance roadmap

Executives and senior leaders responsible for AI in their organization who need governance that works, not a policy that sits in a drawer

Chief AI, data, and risk officers building enterprise governance programs who need a framework built for agents, not just AI tools.

GCs and compliance officers who need to know what their agents can do, who owns the risk, and how to prove it to a regulator.

Govern One AI Agent Across NIST AI RMF, EU AI Act, ISO 42001 & AIUC-1 in One Day

Founder | Agentic AI Governance Advisor

Learn how to govern agentic AI systems before they create risk, fail audits, or get your org in trouble.

Founding Workshop

Framework knowledge alone does not answer the question leadership actually asks: “Can we deploy this AI agent?” Legal wants classification. Risk wants failure scenarios. Security wants controls. Audit wants evidence. Leadership wants a decision.In this live one-day workshop, you will govern one realistic recruiting agent from initial review to deployment decision. I will show you how to use NIST AI RMF 1.0 to identify its highest-priority risks, the EU AI Act to determine role and classification, ISO/IEC 42001 to connect the agent to organizational governance, and AIUC-1 to select agent-specific safeguards and evidence.Then you will connect the work:Agent → Risk → Requirement → Control → Evidence → DecisionYou will leave with a reusable Four-Framework Agent Governance Map and a one-page recommendation to approve, conditionally approve, restrict, pilot, or pause the agent.Built for GRC, cybersecurity, risk, compliance, audit, and AI governance professionals. No coding or prior framework expertise required.

Become the practitioner who can apply four AI governance frameworks to one agent and defend an evidence-backed deployment decision.

Define exactly what the agent can access, decide, and do

Turn NIST AI RMF 1.0 into a focused agent risk profile

Determine and defend the agent’s EU AI Act classification

Translate ISO/IEC 42001:2023 and AIUC-1 into controls and evidence

Build one crosswalk and make a defensible deployment decision

No coding, machine-learning, legal training, or prior experience with all four frameworks is required. You will follow a guided case.

No technical or legal background required

You only need enough professional context to participate in governance decisions and follow the guided framework walkthroughs.

Basic familiarity with governance, risk, security, privacy, audit, or AI

GRC, cybersecurity, compliance, audit, privacy, and vendor-risk professionals responsible for reviewing or approving enterprise AI agents.

AI governance and Responsible AI professionals who need to apply four major frameworks to one agent and produce defensible evidence.

Consultants, advisors, and emerging practitioners seeking a repeatable method to assess AI agents and recommend approval or remediation.

Govern the HR AI tools you already use. Know what's high-risk, build a governance map, and question vendors before you sign anything.

Head of Talent , ex- Novartis | NYU Alum

Novartis

New York University

Aarti Mudaliar

Head of Talent, Novartis | NYU Alumni | Microsoft, AWS & Google certified

Founder, INTLDA | AI Governance Advisor

Uvika Sharma 

Founder, INTLDA | AI Governance Advisor | Keynote Speaker | Cornell Alum

You didn't build the AI. You're still liable for it.McDonald's exposed 64 million applicant records. Samsung lost 270,000 customer records through a vendor's unrotated credentials. Air Canada was held liable for what its own chatbot promised a customer. None of these were AI failures. They were governance failures, and the company answered for it, not the vendor.Under the EU AI Act, NYC Local Law 144, and Colorado's new AI law, you're the deployer of record for every HR tool your team runs, whether you built it or bought it. Most HR leaders confuse responsible AI with AI governance. Responsible AI is the standard: fair, explainable, accountable. Governance is the proof: who signs off, what gets logged, what you hand a regulator when a decision is challenged.This course builds that proof live, on tools your team already uses. You leave with three real artifacts: a risk-tiered inventory, a one-page governance map, a vendor accountability assessment. Built by you, in the room, led by two practitioners with 38 combined years in HR operations and AI governance. Not a certificate. Not a template. A file you can hand your CHRO or General Counsel on Monday.

You didn't build the AI. You're still liable for it. Here's the proof you need.

Know which of your HR AI tools are high-risk, and which aren't

Understand the difference between Responsible AI and AI Governance

Build a one-page governance map for one tool you actually use

Know what your vendors aren't telling you

Understand what the law actually requires of HR right now

Leave with three connected artifacts for one real tool

You're a Senior HR Leader who has been handed an AI mandate with no roadmap and you're expected to have a governance point of view on AI

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AI Agent Governance: A Working Session

What you'll learn

Why this topic matters

You'll learn from

Temi Odesanya

Ola Ajayi

Precious Erugo