Course Objective
What this programme helps you achieve
A hands-on 1 day programme that builds practical, job-ready capability in this area. Delivered through guided walkthroughs, worked examples and reusable checklists you can apply immediately.
UnderstandBuild a clear, structured understanding of the core concepts, terminology and drivers behind this domain.
ApplyTranslate the framework into practical actions, controls and working methods you can use on real engagements.
AssessEvaluate current-state maturity, identify gaps and prioritise the improvements that reduce the most risk.
DeliverProduce the artefacts, evidence and reporting expected of a competent practitioner in this area.
Market Need
Why this matters now
Enterprise AI Policy, Acceptable Use and Shadow AI Risk Management addresses a capability that organisations increasingly need but often lack in a structured, defensible form. Teams frequently rely on ad-hoc knowledge, scattered documents or vendor claims instead of a repeatable method.
This programme closes that gap. It gives participants a shared vocabulary, a practical method and a set of reusable artefacts so the organisation can operate this domain consistently rather than reactively.
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Framework alignment: Aligned with ISO/IEC 42001 and enterprise acceptable-use governance.
What makes this programme useful
01
Practical Focus
Every module is grounded in real scenarios, walkthroughs and reusable checklists rather than theory alone.
02
Career Relevant
Skills map directly to in-demand roles and to how organisations actually operate this domain.
03
Structured Path
A logical progression from fundamentals to applied practice, with a clear takeaway toolkit.
Key Learning Areas
What participants will learn
The rise of generative AI and shadow AI in the enterprise
Risks of ungoverned AI tool usage
Writing a practical enterprise AI acceptable use policy
Approved tools, data handling and confidentiality rules
Discovering and inventorying shadow AI usage
Guardrails: DLP, access control and monitoring for AI tools
Employee guidance, training and cultural adoption
Governance, review and continuous policy improvement
1 Day Agenda
Structured learning flow
09:00–10:15
Module 1 — The rise of generative AI and shadow AI in the enterprise
Concepts, guided walkthrough and discussion covering the rise of generative AI and shadow AI in the enterprise.
10:30–11:45
Module 2 — Risks of ungoverned AI tool usage
Concepts, guided walkthrough and discussion covering risks of ungoverned AI tool usage.
12:00–13:00
Module 3 — Writing a practical enterprise AI acceptable use policy
Concepts, guided walkthrough and discussion covering writing a practical enterprise AI acceptable use policy.
14:00–15:15
Module 4 — Approved tools, data handling and confidentiality rules
Concepts, guided walkthrough and discussion covering approved tools, data handling and confidentiality rules.
15:30–16:30
Module 5 — Discovering and inventorying shadow AI usage
Concepts, guided walkthrough and discussion covering discovering and inventorying shadow AI usage.
16:30–17:00
Module 6 — Guardrails: DLP, access control and monitoring for AI tools
Concepts, guided walkthrough and discussion covering guardrails: DLP, access control and monitoring for AI tools.
09:00–10:00
Module 7 — Employee guidance, training and cultural adoption
Concepts, guided walkthrough and discussion covering employee guidance, training and cultural adoption.
10:15–11:30
Module 8 — Governance, review and continuous policy improvement
Concepts, guided walkthrough and discussion covering governance, review and continuous policy improvement.
Audience & Entry Level
Who should attend?
This programme is designed for professionals who work with, or are moving into, this area of cybersecurity, governance or technology.
AI Governance LeadRisk & ComplianceData Science / ML TeamSecurity ArchitectProduct & EngineeringCISO / CTOIT AuditorLegal & Privacy
Recommended prerequisite
A general awareness of information security or IT concepts is helpful. No specific certification is required to attend.
Learning Outcome
What participants should be able to do after the course
- Confidently work with the rise of generative ai and shadow ai in the enterprise.
- Confidently work with risks of ungoverned ai tool usage.
- Confidently work with writing a practical enterprise ai acceptable use policy.
- Confidently work with approved tools, data handling and confidentiality rules.
- Confidently work with discovering and inventorying shadow ai usage.