Course Objective
What this programme helps you achieve
A hands-on 2 days 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
Data Classification, Data Retention and DLP Control Workshop 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 27001 information handling controls and privacy retention obligations.
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
Building a data classification scheme and labelling
Handling rules per classification level
Data retention schedules and legal/regulatory drivers
Secure disposal and data lifecycle management
Data Loss Prevention (DLP) concepts and architecture
DLP policy design for endpoint, network and cloud
Tuning DLP rules and reducing false positives
Monitoring, incident handling and reporting for data leakage
2 Days Agenda
Structured learning flow
Day 1
Day 1 — Classification & Retention
Building a data classification scheme and labelling; Handling rules per classification level; Data retention schedules and legal/regulatory drivers; Secure disposal and data lifecycle management.
Day 2
Day 2 — DLP Design & Operations
Data Loss Prevention (DLP) concepts and architecture; DLP policy design for endpoint, network and cloud; Tuning DLP rules and reducing false positives; Monitoring, incident handling and reporting for data leakage.
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.
DPO / Privacy OfficerLegal & ComplianceData Protection TeamISMS ManagerIT & Security LeadHR / Marketing Data OwnersRisk ManagerPrivacy Consultant
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 building a data classification scheme and labelling.
- Confidently work with handling rules per classification level.
- Confidently work with data retention schedules and legal/regulatory drivers.
- Confidently work with secure disposal and data lifecycle management.
- Confidently work with data loss prevention (dlp) concepts and architecture.