Govern Agentic AI

Niharika Srivastav

AI Governance Practitioner

Sanjay Saxena

Chief AI Officer

🚨 Master how to govern AI Agents and Agentic AI

AI agents don't just recommend, they act. They browse, decide, execute, and trigger other agents. Most organizations have no framework for this. No clear ownership. No audit trail. As agentic AI moves from labs to boardrooms, governance isn't optional, it's urgent. This session gives you the language and lens to lead that conversation.

✅ No prior AI knowledge required, we'll cover that!
✅ No coding skills required

What Makes Our Workshop Stand Out:

✓ Visual and Engaging Learning

✓ Complex Technical Concepts Super Simplified

✓ Real Projects and Real Deliverables

✓ Live Lessons and Short Videos of Live Lessons

✓ Office Hours with the instructors after the workshop

✓ Unlimited Retakes of the Workshp

What you’ll learn

Learn how to govern AI Agents and Agentic AI

  • Understand how autonomous AI agents differ from traditional AI and why existing governance frameworks fall short.

  • Spot where control breaks down in multi-agent pipelines and who bears responsibility when things go wrong.

  • Learn about the vulnerabilities attackers can exploit

  • Use a structured framework to assess, question, and guide agentic AI use in your organization or client work.

  • Master how to apply the existing frameworks aligned with NIST, ISO, and OWASP

Workshop agenda

  • Necessary AI Knowledge. Why Governance?

    What is AI? Unique characteristics of AI vs traditional software. Why does AI need Governance?

  • Gen AI -> Agentic AI

    What makes AI "agentic" and why it changes everything

  • Risks & Accountability Gaps

    Spot where control breaks down in multi-agent pipelines and who bears responsibility when things go wrong. Real-life case studies. Learn how attackers target AI agents.

  • Apply a practical governance lens to agentic deployments

    Use a structured framework to assess, question, and guide agentic AI use in your organization or client work.

  • Hands-on Exercise

    Perform a hands-on exercise

  • 30-60-90 day action plan

    Build a practical 30-60-90 day roadmap to implement the VERDICT framework

Learn directly from Niharika & Sanjay

Niharika Srivastav

Niharika Srivastav

AI Governance Practitioner

Bank of America, Blue Shield of California, Deloitte, Charles Schwab
Bank of America
Stanford University
Blue Shield of California
Charles Schwab
Deloitte
Sanjay Saxena

Sanjay Saxena

Chief AI Officer

Harvard, KPMG, Deloitte, CVS, Kaiser
Harvard University
KPMG
Deloitte
CVS Pharmacy
Kaiser Permanente
See all products from Responsible AI

Who this workshop is for

  • Product, legal, compliance, risk, security, procurement, data/AI, and business teams

What's included

Live sessions

Learn directly from Niharika Srivastav & Sanjay Saxena in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

E-book on EU AI Act

Offline Resource to refer anytime

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Free resource

Governing Agentic AI cover image

Governing Agentic AI

What makes AI "agentic" and why it changes everything

Understand how autonomous AI agents differ from traditional AI and why existing governance frameworks fall short.

Identify the key risks and accountability gaps

Spot where control breaks down in multi-agent pipelines and who bears responsibility when things go wrong.

Apply a practical governance lens to agentic deployments

Use a structured framework to assess, question, and guide agentic AI use in your organization or client work.

Frequently asked questions

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