Course Objective
What this programme helps you achieve
A hands-on 3 hours 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
Secure Use of AI Tools in the Workplace 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: Practical guidance aligned with enterprise AI acceptable-use policy.
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
How employees use generative AI tools day to day
Risks: data leakage, confidentiality and accuracy
What you should and shouldn't put into AI tools
Recognising AI-generated phishing and deepfakes
Company AI acceptable use rules explained
Protecting customer and personal data with AI
Verifying AI output and avoiding overreliance
Practical do's and don'ts for safe AI use
3 Hours Agenda
Structured learning flow
09:00–10:15
Module 1 — How employees use generative AI tools day to day
Concepts, guided walkthrough and discussion covering how employees use generative AI tools day to day.
10:30–11:45
Module 2 — Risks: data leakage, confidentiality and accuracy
Concepts, guided walkthrough and discussion covering risks: data leakage, confidentiality and accuracy.
12:00–13:00
Module 3 — What you should and shouldn't put into AI tools
Concepts, guided walkthrough and discussion covering what you should and shouldn't put into AI tools.
14:00–15:15
Module 4 — Recognising AI-generated phishing and deepfakes
Concepts, guided walkthrough and discussion covering recognising AI-generated phishing and deepfakes.
15:30–16:30
Module 5 — Company AI acceptable use rules explained
Concepts, guided walkthrough and discussion covering company AI acceptable use rules explained.
16:30–17:00
Module 6 — Protecting customer and personal data with AI
Concepts, guided walkthrough and discussion covering protecting customer and personal data with AI.
09:00–10:00
Module 7 — Verifying AI output and avoiding overreliance
Concepts, guided walkthrough and discussion covering verifying AI output and avoiding overreliance.
10:15–11:30
Module 8 — Practical do's and don'ts for safe AI use
Concepts, guided walkthrough and discussion covering practical do's and don'ts for safe AI use.
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.
All EmployeesManagers & Team LeadsHR & AdminExecutives & BoardNew JoinersCustomer-Facing StaffIT SupportAwareness Champions
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 how employees use generative ai tools day to day.
- Confidently work with risks: data leakage, confidentiality and accuracy.
- Confidently work with what you should and shouldn't put into ai tools.
- Confidently work with recognising ai-generated phishing and deepfakes.
- Confidently work with company ai acceptable use rules explained.