Course Outline
DAY 1 — SEE THE RISK
Opening — The Data Moment
- Digital responsibility; personal data as a business, operational, privacy and trust asset; analytics, AI, profiling and automated decisions.
Module 1 — From Personal Data to Organisational Responsibility
- PDPA framework, scope, personal data, controller, processor, 2024 amendments, controller registration, DPO awareness and the wider privacy, cybersecurity, data sharing, online safety and AI governance ecosystem.
Module 2 — Privacy & Seven Principles Test
- Seven Principles, purpose, notice, choice, disclosure, security, retention, data integrity, access, necessity and proportionality.
- Practical Privacy Notice and Seven Principles Test.
Module 3 — Accountability Test
- Accountability beyond policies; management ownership, DPO, governance, records, contracts, processors, vendors and evidence.
Vendor Problem
- Third party processing, contracts, access, disclosure, security, sub processors and cloud dependency.
- Practical Vendor Risk Check.
Module 4 — Lifecycle Test
- Collection, use, disclosure, storage, transfer, retention and disposal; minimisation, purpose limitation, access and correction, third parties, cloud and cross border transfer.
- From reuse to training, profiling, inference and decision making.
- Practical Follow the Data exercise.
Module 5 — Privacy Risk Test
- Privacy risk, affected individuals, harm, likelihood and severity, high risk, technology, profiling, residual risk and DPIA.
- Practical HR Facial Recognition DPIA.
Should We Proceed?
- Applying principles, accountability, lifecycle and DPIA: Proceed / Modify / Escalate / Reassess.
- Day 1 takeaway: SEE THE DATA. RECOGNISE THE RISK.
DAY 2 — MANAGE THE RISK
Privacy Blind Spot
- Excessive collection, unclear purpose, weak access, indefinite retention, vendor dependency, poor Privacy by Design, uncontrolled reuse and AI/profiling.
- Practical Spot the Blind Spot.
Module 6 — Protection Test
- Privacy by Design and by Default, minimisation, access, privacy settings, retention, security, transparency and accountability.
- Practical Marketing Loyalty App case: Keep / Remove / Restrict / Protect / Explain.
Design It Better
- Practical application of Privacy by Design and by Default. Building privacy protection into processes, systems and services from the outset.
Module 7 — Breach Test
- Data breach assessment, escalation, evidence, notification, affected individuals, processors, containment and remediation.
- Practical Breach Decision.
When Data Goes Wrong
- Incident response governance, regulatory response, business impact, communications and evidence.
- Case Lens using selected Malaysian data incidents.
Module 8 — Digital Future Test
- Automated decision making and profiling, AI and personal data, generative AI, training data, accuracy, transparency, human involvement, challenge, AI governance and agentic AI.
- Practical case: The AI Agent Has Access.
When System Decides
- Profiling, significant decisions, human oversight, transparency, explanation, accuracy, challenge, accountability and meaningful human involvement.
- Practical Decision Test.
Module 9 — Governance & Evidence Test
- Leadership, DPO, registration, privacy notices, vendors, complaints, sector codes, monitoring, regulatory engagement, enforcement and evidence.
- From policy to proof. Practical Governance Stress Test.
Module 10 — Improvement Test
- Risk based improvement, prioritisation, owner, evidence, monitoring and corrective action.
- Practical exercise: One weakness → One risk → One control → One owner → One evidence → One action.
Privacy Moment
- Assess → Protect → Respond → Evidence → Monitor → Improve.
- Day 2 takeaway: ASSESS THE RISK. PROTECT THE DATA. IMPROVE WHAT MATTERS.











