Governing Shadow AI and Agentic AI
Governing Shadow AI & Agentic AI
Practical governance for AI you can’t always see and can’t fully predict.
Shadow AI is already in your business. Agentic AI is next.
Join enterprise peers for an in-person, practical session on how to regain visibility, reduce risk, and build a governance approach that scales with GenAI and AI agents.
Date: 8 April 2026
Time: 2:00pm – 5:00pm (includes networking & Q&A)
Venue: Innovation Studio, IBM, 20 York Road, London, SE1 7ND
Seats: 100
What you will leave with
A clear definition of Shadow AI in real enterprise environments.
A governance lens for Agentic AI (systems that plan and act).
A 30–60–90 day “minimum viable governance” plan for GenAI.
Practical steps to improve visibility, control, and audit-ready evidence
Event description
AI governance is shifting.
Not because regulations are “suddenly strict”.
But because AI has moved from experiments to everyday workflows.
People are using personal AI tools.
AI is embedded inside SaaS platforms.
And AI agents are starting to take actions, not just generate content.
This event is for leaders who want to enable AI adoption without losing control.
We will focus on practical steps. Not theory. Not hype.
Who should attend
This event is designed for:
CIOs, CISOs, CTOs
Heads of Risk, Compliance, Legal
Heads of Data/AI, Digital Transformation
AI product owners, platform and engineering leads
If you are trying to scale GenAI safely, this is for you.
What to expect
Where Shadow AI actually shows up (beyond “people using ChatGPT”).
Why traditional governance and IT controls struggle to detect it.
How Agentic AI changes the governance game (permissions, tools, cascading actions).
A practical starter model for GenAI governance: inventory → controls → monitoring → evidence.
Agenda
2:00 – 2:30 | Arrival + Networking
Check-in, coffee, meet peers.
2:30 – 2:35 | Welcome
Why Shadow AI + Agentic AI is the new governance frontier.
2:35 – 3:10 | Session 1
Shadow AI: What It Is, Why It Matters, and Where to Start
Shadow AI is already embedded in everyday work through personal tools and unmanaged AI usage. This session explores why visibility is the foundation of AI governance and how organisations can take practical first steps to regain control.
What to expect:
Where Shadow AI actually shows up - from personal tools to AI embedded in everyday SaaS
Why traditional governance and IT controls fail to detect or manage Shadow AI usage
Pragmatic first steps to improve visibility, reduce risk, and enable safer AI adoption
3:10 – 3:20 | Q&A
3:20 – 3:55 | Session 2
Governing the AI Systems That Think, Plan, and Act on Their Own
In recent years, AI has crossed a threshold. It is not just generating text and images anymore - it is increasingly taking actions across tools and workflows.
This talk covers the governance landscape for Agentic AI:
What is being deployed today
Where regulation stands (and where it falls short)
Why agents are fundamentally harder to govern
What “good” could look like next for Agentic AI governance
3:55 – 4:05 | Q&A
4:05 – 4:35 | Session 3
Getting Started with Generative AI Governance: Your First 30–60–90 Days
Most organisations don’t need a perfect programme to start. They need a minimum viable baseline that restores control, enables safe adoption, and creates audit-ready evidence.
You will get:
The first building blocks: AI inventory, decision rights, minimum policies
The minimum viable controls for common GenAI deployments
What to measure and monitor from day one (so governance is real, not paperwork)
4:35 – 4:50 | Q&A
4:50 – 5:00 | Close + next steps
Logistics
Venue address: IBM Innovation Studio, Floor 5, 20 York Road, London, SE1 7ND
ID required: IBM asks visitors to show government-issued photo ID at security on arrival
Limited capacity of 50 seats. Register today to reserve yours